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#Federated Learning

Showing: 152 courses
Stanford University

Generalization and Personalization in Federated Learning - Karan Singhal

1 rewiews
Explore generalization and personalization in federated learning, focusing on medical AI applications. Insights on improving model performance across diverse data distributions and healthcare settings.
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43 Lesons
56 minutes
On-Demand
Free-Video
TensorFlow

Federated Learning - Machine Learning on Decentralized Data

1 rewiews
Explore federated learning for privacy-preserving machine learning on decentralized data. Learn about its implementation in Google products and simulation using TensorFlow Federated.
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11 Lesons
41 minutes
On-Demand
Free-Video
Microsoft

Federated Learning with Azure Machine Learning

2 rewiews
Explore federated learning with Azure ML, enabling collaborative training across organizations while protecting data privacy. Includes a demo of global FL setup using NVIDIA FLare.
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11 Lesons
26 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Preserving Data Privacy in Federated Learning - Xiaokui Xiao

1 rewiews
Explore privacy-preserving techniques in federated learning, including differential privacy, model privacy, and vertical factory learning, with insights on future developments and challenges.
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23 Lesons
35 minutes
On-Demand
Free-Video
Stanford University

Rethinking Architecture Design for Data Heterogeneity in FL - Liangqiong Qu

0 rewiews
Explores innovative architecture designs for federated learning in medical AI, focusing on Transformers to address data heterogeneity challenges and improve model performance across diverse healthcare institutions.
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17 Lesons
38 minutes
On-Demand
Free-Video
Stanford University

Beyond Testset Performance - Strategies for Clinical Deployment

0 rewiews
Strategies for deploying AI in clinical settings, addressing challenges beyond test performance. Explores model reliability, distribution shifts, and human-AI collaboration for real-world medical applications.
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28 Lesons
55 minutes
On-Demand
Free-Video
Stanford University

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

0 rewiews
Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.
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25 Lesons
57 minutes
On-Demand
Free-Video
Stanford University

Federated Learning in Medicine - Breaking Down Silos to Advance Medical Research

0 rewiews
Explore federated learning's potential to revolutionize medical research by breaking data silos, enhancing privacy, and fostering collaboration across healthcare institutions.
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26 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Stanford Seminar - The Future of Edge Computing from an International Perspective

0 rewiews
Explore international perspectives on edge computing, covering 5G integration, federated learning, AI processing, and IoT systems for smart applications across Asia and the U.S.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

The Privacy Considerations of Production Machine Learning

0 rewiews
Explore state-of-the-art research on privacy in machine learning, including estimating and defending against privacy leakage, secure collaboration, and machine unlearning for GDPR compliance.
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1 Lesons
32 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Building a Cloud-Native Privacy Computing Platform in Financial Industry

0 rewiews
探索上海浦东发展银行如何构建云原生隐私计算平台"波塞冬"，实现数据安全与算法性能的平衡，并在多个业务场景中发挥关键作用。
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1 Lesons
35 minutes
On-Demand
Free-Video
Data Science Dojo

Pediatric Moonshot - Global, Real-Time, Privacy-Preserving Applications for Children's Medicine

0 rewiews
Exploring innovative AI applications in pediatric medicine using privacy-preserving, decentralized edge cloud technology to improve global healthcare equity and enable real-time diagnosis and treatment.
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25 Lesons
39 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Auditing Data Privacy for Machine Learning

0 rewiews
Explores privacy risks in machine learning, including data extraction from models, membership inference attacks, and tools for auditing privacy. Discusses implications for AI regulations and privacy-by-design approaches.
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13 Lesons
18 minutes
On-Demand
Free-Video
CAE in Cybersecurity Community

Securing Big Data in the Age of Artificial Intelligence

0 rewiews
Explore challenges and solutions for securing big data in AI, including hardware support, federated learning, and privacy-preserving techniques for data science and machine learning.
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20 Lesons
39 minutes
On-Demand
Free-Video
The Cyber Academy

Privacy-Preserving AI - Andrew Trask, University of Oxford

0 rewiews
Explore privacy-preserving AI techniques with Andrew Trask, covering differential privacy, federated learning, and shared governance for ethical and secure AI development.
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12 Lesons
38 minutes
On-Demand
Free-Video
Open Data Science

Making Private Data Open and Enhancing Decision-Making Through Digital Atlases

0 rewiews
Explore innovative approaches to data sharing, privacy preservation, and decision-making enhancement through digital atlases, focusing on the Australian Cancer Atlas and Bayesian statistical models.
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9 Lesons
28 minutes
On-Demand
Free-Video
Alan Turing Institute

A Novel Federated Learning Method to Model Cybersecurity Risk Estimation for Digital Identity Management Systems

0 rewiews
Explore a novel federated learning approach for estimating cybersecurity risks in digital identity management, presented by Po-Chu Chen from the University of Warwick.
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1 Lesons
22 minutes
On-Demand
Free-Video
Simons Institute

Survey on Privacy and Security in Federated Learning

0 rewiews
Explore privacy and security challenges in Federated Learning with Google experts Peter Kairouz and Kunal Talwar, discussing key issues and potential solutions.
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1 Lesons
22 minutes
On-Demand
Free-Video
Simons Institute

Large Scale Private Learning on Data Streams and the Buffered Linear Toeplitz Operators

0 rewiews
Innovative algorithm for privacy-preserving machine learning on data streams, introducing Buffered Linear Toeplitz operators for efficient noise generation in differentially private training.
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1 Lesons
30 minutes
On-Demand
Free-Video
DevConf

Open Source Intelligence Data in Cyber Threat Intelligence for a Common Purpose - DevConf.CZ 2024

0 rewiews
Explore OSINT's role in Cyber Threat Intelligence for Enterprise IoT protection. Learn about Federated Learning, global data exchange, and AI-driven threat detection for enhanced cybersecurity.
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1 Lesons
36 minutes
On-Demand
Free-Video
Conf42

Protecting Sensitive Data and Machine Learning Models

0 rewiews
Discover techniques for safeguarding sensitive data and ML models, enhancing privacy and security in Python-based AI applications.
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2 Lesons
21 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Federated Learning in Big Data Over Networks

0 rewiews
Explore federated learning techniques for big data networks, focusing on distributed algorithms and privacy-preserving methods in large-scale data analysis.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Simons Institute

Federated and Collaborative Learning - Session 1

0 rewiews
Explore cutting-edge topics in federated learning, including data valuation, privacy, uncertainty quantification, and scaling to foundation models, presented by leading experts in the field.
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1 Lesons
48 minutes
On-Demand
Free-Video
Simons Institute

Federated and Collaborative Learning

0 rewiews
Explore federated and collaborative learning approaches with Katrina Ligett, delving into innovative techniques for privacy-preserving data analysis and machine learning.
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1 Lesons
55 minutes
On-Demand
Free-Video
Open Data Science

Introduction to Federated Learning with Flower - A Hands-on Tutorial

0 rewiews
Explore federated learning with Flower framework. Learn AI training across devices, enhancing privacy without centralizing data. Includes hands-on tutorial and insights into reshaping AI while protecting sensitive information.
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9 Lesons
31 minutes
On-Demand
Free-Video
USENIX

Efficient Decentralized Federated Singular Vector Decomposition

0 rewiews
Innovative system for efficient decentralized federated SVD, enhancing privacy and performance in distributed applications. Outperforms existing methods with significant speed improvements and larger throughput.
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1 Lesons
19 minutes
On-Demand
Free-Video
Open Data Science

Medical Imaging with Azure Machine Learning

0 rewiews
Explore Azure Machine Learning for medical imaging applications, covering data management, model development, deployment, and explainability in healthcare scenarios.
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25 Lesons
1 hour 19 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Edge-Native: The New Paradigm for Operating and Developing Edge Apps

0 rewiews
Explore edge-native principles for developing and operating apps across distributed locations, addressing challenges like NAT, limited resources, and heterogeneous environments for efficient edge computing.
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1 Lesons
32 minutes
On-Demand
Free-Video
Linux Foundation

Building Edge AI Stack and AI-as-a-Service in Cloud Native Way

0 rewiews
Explore edge AI stack and AI-as-a-Service in cloud-native environments, focusing on KubeEdge architecture, ML offloading, and edge-cloud collaborative techniques for improved performance and data privacy.
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16 Lesons
40 minutes
On-Demand
Free-Video
INSAIT Institute

Towards Collaborative Decentralized Learning

0 rewiews
Explore cutting-edge decentralized learning concepts, from federated systems to Byzantine-robust training, with insights into collaborative and personalized optimization approaches.
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13 Lesons
24 minutes
On-Demand
Free-Video
SNIAVideo

AI and Blockchain: The Emerging Duets in Data Storage and Processing

0 rewiews
Explore how federated learning and blockchain technologies combine to solve AI data sharing challenges, enhance security, and optimize decentralized storage systems across industries.
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1 Lesons
58 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning

0 rewiews
Delve into advanced machine learning concepts exploring adaptivity in representation learning, focusing on meta-learning and federated learning approaches for model deployment in new environments.
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17 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

FedOpt++ - Federation Beyond Uniform Client Selection, Optimization Beyond Simple Minimization

0 rewiews
Delve into advanced federated learning concepts, exploring cyclic client participation patterns and minimax optimization for distributed machine learning applications and theoretical frameworks.
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1 Lesons
59 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Heterogeneity-Aware Algorithms for Federated Learning and Distributed Optimization

0 rewiews
Delve into advanced federated learning algorithms, focusing on heterogeneity challenges in distributed model training and innovative solutions for edge computing optimization.
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20 Lesons
1 hour 8 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

FATE-LLM - Empowering Large Language Models with Federated Learning

0 rewiews
Explore FATE-LLM, integrating federated learning with large language models to address data privacy concerns. Learn about its components, implementation on Kubernetes, and real-world applications.
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1 Lesons
28 minutes
On-Demand
Free-Video
USC Information Sciences Institute

AI on the Edge: Hardware-Software Co-Design for Graph Analytics and Neural Networks - Session 3

0 rewiews
Explore cutting-edge research on hardware-software co-design for AI, including graph analytics, neural networks, object detection, and federated learning.
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1 Lesons
50 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Federated Learning and Integration of Biomedical Data

0 rewiews
Explore federated learning for secure biomedical data collaboration, integrating data harmonization and imputation techniques. Discover applications in neuroimaging tasks.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Federated Learning One World Seminar

On-Device Training Under 256KB Memory

0 rewiews
Discover cutting-edge techniques for on-device machine learning training with minimal memory requirements, presented by MIT's Song Han in this technical seminar on resource-efficient AI deployment.
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1 Lesons
59 minutes
On-Demand
Free-Video
Federated Learning One World Seminar

Federated Automatic Differentiation - Seminar 96

0 rewiews
Explore advanced concepts in federated automatic differentiation with Google researcher Zachary Charles, covering innovative approaches to distributed machine learning and privacy-preserving computation.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Federated Learning One World Seminar

A Bayesian Approach for Personalized Federated Learning - Seminar 93

0 rewiews
Discover how Bayesian approaches enhance personalized federated learning through innovative statistical methods and practical applications in distributed machine learning environments.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Federated Learning One World Seminar

Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91

0 rewiews
Explore advanced distributed learning techniques focusing on spatial and temporal correlations, with insights into FedAvg algorithm, client participation, and optimization strategies.
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17 Lesons
56 minutes
On-Demand
Free-Video
TensorFlow

Federated Learning - Basics and Application to the Mobile Keyboard

0 rewiews
Explore federated learning basics and its application to mobile keyboards, covering practical implementation and real-world use cases in this informative tech talk.
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6 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Federated and Collaborative Learning - Session 2

0 rewiews
Explore cutting-edge research in federated learning, collaborative AI, and privacy-preserving data analysis with expert talks on fast mean estimation and stable covariance techniques.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
TheIACR

From Idea to Impact, the Crypto Story - What's Next?

0 rewiews
Explore the intersection of cryptography and machine learning, examining challenges, impacts, and future directions in digital privacy, adversarial learning, and quantum resilience.
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41 Lesons
1 hour 3 minutes
On-Demand
Free-Video
IEEE

Back to the Drawing Board - A Critical Evaluation of Poisoning Attacks on Federated Learning

0 rewiews
Critical evaluation of poisoning attacks on federated learning, examining threat models, attack types, and robustness across different FL settings. Insights for researchers and practitioners in secure machine learning.
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23 Lesons
20 minutes
On-Demand
Free-Video
IEEE

Exploiting Unintended Feature Leakage in Collaborative Learning - Congzheng Song

0 rewiews
Explores security vulnerabilities in collaborative machine learning, demonstrating how model updates can leak sensitive information about training data and proposing inference attacks to exploit these weaknesses.
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12 Lesons
17 minutes
On-Demand
Free-Video
Simons Institute

Federated and Collaborative Learning - Session 3

0 rewiews
Explore cutting-edge advancements in federated and collaborative learning, including local training methods, online learning with bandit feedback, and insights from leading researchers in the field.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Simons Institute

Survey on Optimization in Federated Learning

0 rewiews
Explore optimization techniques in Federated Learning, focusing on collaborative approaches and their applications in distributed machine learning environments.
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1 Lesons
55 minutes
On-Demand
Free-Video
Open Data Science

AI Singapore's Journey into the World of Federated Learning

0 rewiews
Explore AI Singapore's Synergos system for federated learning, a privacy-preserving technique that trains models across decentralized parties without exchanging data, addressing privacy concerns and regulatory compliance.
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12 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Berkeley in the 80s - Silvio Micali Interview on Theoretical Computer Science

0 rewiews
Turing Laureate Silvio Micali discusses his groundbreaking research at Berkeley, covering pseudorandomness, multiparty computation, and blockchain technology, while reflecting on the university's influential atmosphere in the 1980s.
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13 Lesons
38 minutes
On-Demand
Free-Video
Simons Institute

Federated Heavy Hitters Discovery with Differential Privacy

0 rewiews
Explore federated learning, differential privacy, and heavy hitters discovery in this talk by Peter Kairouz. Learn about multiparty computation, open research, and practical applications in data analysis.
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14 Lesons
44 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

How to Allow Deep Learning on Your Data Without Revealing Your Data

0 rewiews
Exploring secure deep learning on private data without revealing it, discussing InstaHide and TextHide methods, their applications in Federated Learning, and addressing potential security concerns.
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19 Lesons
23 minutes
On-Demand
Free-Video
Simons Institute

Fundamental Trade-Offs in FL-FA - Sparsity - DP - Communication Constraints

0 rewiews
Explore trade-offs in federated learning, focusing on sparsity, differential privacy, and communication constraints. Gain insights into balancing these factors for effective machine learning.
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1 Lesons
37 minutes
On-Demand
Free-Video
tinyML

Enabling On-Device Learning at Scale

0 rewiews
Explore on-device learning techniques for AI personalization, including few-shot learning, continuous learning, and federated learning, addressing privacy and efficiency challenges in edge computing.
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24 Lesons
37 minutes
On-Demand
Free-Video
tinyML

Airborne Sound Maintenance in Remote Sites Using Low Power Federated Learning

0 rewiews
Explore low-power federated learning for remote site maintenance using airborne sound, minimizing downtime and costs while adhering to GDPR regulations.
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11 Lesons
21 minutes
On-Demand
Free-Video
Nvidia

Modern Medical Image Segmentation, AutoML, and Beyond

0 rewiews
Explore advanced medical image segmentation techniques, including AutoML and deep learning, for improved disease understanding and clinical diagnosis.
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11 Lesons
53 minutes
On-Demand
Free-Video
Linux Foundation

Federated Learning All-in-One Box

0 rewiews
Explore federated learning architecture, deployment workflows, and practical demonstrations using Microshift for decentralized machine learning applications.
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8 Lesons
20 minutes
On-Demand
Free-Video
Linux Foundation

Federated Learning - Unlocking the Value of Discrete Data for Enterprise

0 rewiews
Explore federated learning's potential for enterprise collaboration, data privacy, and value extraction. Learn about FATE and OpenFL frameworks, and discover FedLCM for multi-cloud orchestration.
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1 Lesons
42 minutes
On-Demand
Free-Video
TheIACR

Low-Communication Algorithms for Private Federated Data Analysis - Invited Talk

0 rewiews
Low-communication algorithms for private federated data analysis, offering optimal accuracy guarantees while preserving privacy in distributed settings.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
TheIACR

Federated Learning with Formal User-Level Differential Privacy Guarantees

0 rewiews
Explore federated learning with differential privacy guarantees, covering key concepts, challenges, and algorithms like DP-SGD and DP-FTRL, with insights on privacy-utility trade-offs and future directions.
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20 Lesons
59 minutes
On-Demand
Free-Video
TheIACR

Decentralized Data Science Made Easy

0 rewiews
Explore decentralized data science techniques and applications in this comprehensive talk, focusing on simplifying complex concepts for practical implementation.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
TheIACR

MicroFedML: Privacy Preserving Federated Learning for Small Weights

0 rewiews
Privacy-preserving federated learning techniques for small weights, focusing on MicroFedML. Explores innovative approaches to enhance data privacy in machine learning collaborations.
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1 Lesons
23 minutes
On-Demand
Free-Video
TheIACR

Privacy Preserving AI in Cryptography - Round Table Discussion

0 rewiews
Explore privacy-preserving AI techniques in this roundtable discussion from the Glowing Hot Topics in Cryptography workshop, focusing on the intersection of cryptography and artificial intelligence.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
TheIACR

Crypto Intersects AI - Round Table Discussion

0 rewiews
Explore the intersection of cryptography and AI in this roundtable discussion from the Glowing Hot Topics in Cryptography workshop, featuring expert insights on emerging trends and challenges.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
TheIACR

Privacy-Preserving Machine Learning Workshop 2023 - Contributed Talks Session II

0 rewiews
Explore cutting-edge research in privacy-preserving machine learning through expert presentations at the PPML 2023 workshop, covering innovative techniques and applications in the field.
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1 Lesons
1 hour 50 minutes
On-Demand
Free-Video
TheIACR

Privacy-Preserving Machine Learning - Invited and Contributed Talks

0 rewiews
Explore privacy-preserving machine learning with expert Mariana Raykova and contributed talks from PPML 2023, covering cutting-edge research and advancements in secure AI and data protection.
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1 Lesons
1 hour 26 minutes
On-Demand
Free-Video
TheIACR

Privacy-Preserving Machine Learning Workshop - Invited and Contributed Talks

0 rewiews
Explore cutting-edge research in privacy-preserving machine learning with expert talks and contributions at PPML 2023, covering innovative techniques and advancements in the field.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Linux Foundation

FedLess - Secure and Scalable Serverless Federated Learning

0 rewiews
Explore serverless federated learning with FedLess, addressing scalability and security challenges in collaborative model training across distributed clients using cloud platforms.
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1 Lesons
31 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Fundamentals of Privacy-Preserving Federated Learning

0 rewiews
Explore privacy-preserving techniques in federated learning, focusing on data protection and collaborative model training across distributed datasets.
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1 Lesons
33 minutes
On-Demand
Free-Video
Linux Foundation

OpenFL: A Federated Learning Framework for Secure Collaborative Model Training

0 rewiews
Explore OpenFL, a Python framework for federated learning that enables collaborative model training without sharing sensitive data. Learn its features, applications, and security benefits.
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1 Lesons
32 minutes
On-Demand
Free-Video
Linux Foundation

Federated AI in Future Digital Banking

0 rewiews
Explore how WeBank leverages federated AI and open-source machine learning to revolutionize digital banking, addressing data privacy and regulatory challenges while enhancing customer experience.
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28 Lesons
36 minutes
On-Demand
Free-Video
Linux Foundation

Federated Learning in 5G C-V2X

0 rewiews
Explore federated learning in 5G C-V2X, covering network requirements, autonomous vehicle architecture, challenges, and practical applications through a demo and Q&A session.
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10 Lesons
49 minutes
On-Demand
Free-Video
Linux Foundation

ACUMOS AI Project - Machine Learning Platform Overview

0 rewiews
Explore ACUMOS AI, an open-source platform for ML workflow, trusted AI, and federated learning. Learn about cloud migration, edge deployment, and practical use cases in this comprehensive overview.
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22 Lesons
45 minutes
On-Demand
Free-Video
Linux Foundation

Securing ML Workloads with Kubeflow and MLOps - Pwned By Statistics

0 rewiews
Learn to secure machine learning workloads using Kubeflow and MLOps. Explore techniques like model extraction, hidden data attacks, and leakage detection to protect your ML pipelines and models.
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25 Lesons
51 minutes
On-Demand
Free-Video
Linux Foundation

OpenFL - Building Better AI Models with Private Data

0 rewiews
Explore federated learning for collaborative AI model development without sharing sensitive data. Learn about OpenFL's applications in healthcare and space research.
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1 Lesons
39 minutes
On-Demand
Free-Video
Linux Foundation

How to Adopt Emerging Federated Learning Technologies

0 rewiews
Explore Flame, a flexible system for deploying distributed federated learning applications, enabling customization and easy adoption of new architectures with reduced development effort.
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1 Lesons
30 minutes
On-Demand
Free-Video
IEEE

SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks

0 rewiews
Explore robust algorithms for privacy-preserved federated learning in future networks, focusing on explainable and secure data collaboration techniques.
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1 Lesons
15 minutes
On-Demand
Free-Video
IEEE

LOKI: Large-Scale Data Reconstruction Attack Against Federated Learning Through Model Manipulation - 2024

0 rewiews
Explore a large-scale data reconstruction attack against federated learning, focusing on model manipulation techniques and their implications for privacy and security.
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1 Lesons
20 minutes
On-Demand
Free-Video
Black Hat

Practical Defenses Against Adversarial Machine Learning

0 rewiews
Explore real-world attacks on ML systems, from recommendation engines to email filters, and learn practical defense strategies against adversarial machine learning threats.
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25 Lesons
31 minutes
On-Demand
Free-Video
RSA Conference

Protect Privacy in a Data-Driven World - Privacy-Preserving Machine Learning

0 rewiews
Explore privacy-preserving machine learning techniques to harness AI's power while maintaining data confidentiality, with insights on federated learning, trusted execution environments, and homomorphic encryption.
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27 Lesons
47 minutes
On-Demand
Free-Video
Strange Loop Conference

Federated Learning - Private Distributed ML

0 rewiews
Explore federated learning for private, distributed machine learning across devices or entities, addressing data sharing constraints while enabling collaborative model training.
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20 Lesons
44 minutes
On-Demand
Free-Video
USENIX

Oort - Efficient Federated Learning via Guided Participant Selection

0 rewiews
Efficient federated learning system that improves model training and testing by intelligently selecting participants based on data utility and device capabilities, enhancing accuracy and performance.
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14 Lesons
16 minutes
On-Demand
Free-Video
USENIX

BatchCrypt - Efficient Homomorphic Encryption for Cross-Silo Federated Learning

0 rewiews
Efficient homomorphic encryption system for cross-silo federated learning, reducing encryption and communication overhead while maintaining privacy and accuracy in collaborative machine learning.
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18 Lesons
23 minutes
On-Demand
Free-Video
IEEE

Comprehensive Privacy Analysis of Deep Learning

0 rewiews
Análisis exhaustivo de la privacidad en el aprendizaje profundo, destacando ataques de inferencia de caja blanca y vulnerabilidades en modelos centralizados y federados.
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17 Lesons
17 minutes
On-Demand
Free-Video
USENIX

FLASH - Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning

0 rewiews
Innovative hardware acceleration architecture for cross-silo federated learning, enhancing performance and resource utilization of cryptographic operations while preserving data privacy.
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1 Lesons
18 minutes
On-Demand
Free-Video
IEEE

RoFL - Robustness of Secure Federated Learning

0 rewiews
Explore secure federated learning's robustness with RoFL, examining challenges and solutions for resilient distributed machine learning systems in privacy-sensitive environments.
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1 Lesons
15 minutes
On-Demand
Free-Video
IEEE

ELSA - Secure Aggregation for Federated Learning with Malicious Actors

0 rewiews
Explore ELSA, a secure aggregation protocol for federated learning that protects against malicious actors while maintaining efficiency and scalability in distributed machine learning environments.
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1 Lesons
17 minutes
On-Demand
Free-Video
USENIX

Gradient Obfuscation Gives a False Sense of Security in Federated Learning

0 rewiews
Explores vulnerabilities in federated learning, demonstrating how gradient obfuscation techniques may not provide adequate privacy protection. Proposes a new attack framework and challenges existing evaluation methods.
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1 Lesons
14 minutes
On-Demand
Free-Video
TheIACR

Privacy in Federated Learning at Scale

0 rewiews
Explore privacy challenges and solutions in large-scale federated learning systems with experts Gascon, Kairouz, and Bonawitz, discussing cutting-edge techniques for secure collaborative machine learning.
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1 Lesons
59 minutes
On-Demand
Free-Video
WeAreDevelopers

Deep Learning for Mobile Devices

0 rewiews
Strategies for implementing efficient convolutional neural networks on mobile devices, covering model optimization, hardware considerations, and on-device training techniques.
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22 Lesons
44 minutes
On-Demand
Free-Video
PyCon US

Practical Privacy-Preserving Machine Learning in Python

0 rewiews
Explore privacy-preserving machine learning techniques in Python, including federated learning and encrypted data algorithms, to build accurate models while protecting user privacy.
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22 Lesons
19 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Accelerating Drug Discovery by Competitive Cooperation Through Open Source

0 rewiews
Explore how Kubernetes enables collaborative machine learning in drug discovery, balancing data privacy and competitive interests among pharmaceutical companies.
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15 Lesons
34 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Accelerate Federated Learning Model Deployment with KServe - KFServing

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探索利用KServe加速联邦学习模型部署的实践。介绍Kubeflow、KFServing和推理服务工作流程,联邦学习基础知识,以及如何从水平训练的联邦学习模型创建服务。
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1 Lesons
30 minutes
On-Demand
Free-Video
GAIA

Information Leakage of Neural Networks

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Explore information extraction attacks on machine learning models, their potential to compromise sensitive data, and strategies for mitigation. Gain insights into legal aspects and privacy-security-utility tensions.
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1 Lesons
28 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Federated Learning for Healthcare: Private and Personal Clinical Modeling

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Explore federated learning's application in healthcare, focusing on training machine learning models across distributed clinical datasets without compromising sensitive data privacy and security.
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1 Lesons
24 minutes
On-Demand
Free-Video
Eclipse Foundation

SUMO Simulations for Privacy-Preserving Federated Learning in Autonomous Vehicles

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Explore privacy-preserving federated learning techniques for autonomous vehicles using SUMO simulations, focusing on balancing data protection and predictive model performance.
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15 Lesons
18 minutes
On-Demand
Free-Video
Eclipse Foundation

Scalable and Portable Federated Learning Simulation Engine

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Discover a powerful simulation engine for federated learning that enables privacy-focused data analysis, offering scalable and hardware-independent implementation for research and production environments.
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1 Lesons
13 minutes
On-Demand
Free-Video
Eclipse Foundation

Privacy and Security in Vehicular Data Aggregation Using Federated Learning - A Parking Occupancy Case Study

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Explore privacy challenges in vehicular federated learning systems, focusing on data protection, route inference attacks, and security implications for intelligent city traffic prediction.
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1 Lesons
16 minutes
On-Demand
Free-Video
ACM SIGPLAN

HasTEE: Programming Trusted Execution Environments with Haskell

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Explore HasTEE, a Haskell-embedded DSL for programming Trusted Execution Environments. Learn how it simplifies TEE application development with automatic partitioning and enhanced security features.
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1 Lesons
27 minutes
On-Demand
Free-Video
GAIA

Advancing Private Federated Learning - Insights and Innovations from Research

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Explore private federated learning techniques, challenges, and real-world applications. Gain insights into Apple's implementation and learn how to start research using open-source tools.
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1 Lesons
29 minutes
On-Demand
Free-Video