AI and Blockchain: The Emerging Duets in Data Storage and Processing
Explore how federated learning and blockchain technologies combine to solve AI data sharing challenges, enhance security, and optimize decentralized storage systems across industries.
Applied Custom Vision for AI-Powered Camera Feed Analysis
Explore practical applications of AI-powered computer vision for workplace monitoring, from parking lot analytics to safety alerts, featuring Custom Vision edge computing and OpenVino demonstrations.
Introducing NFS-SSD: eSSDs That Natively Speak Network File System
Explore the evolution of SSD technology and why embedding Network File System (NFS) directly in SSDs is crucial for modern decentralized workflows, cloud computing, and edge computing demands.
Codes for Unexpected and Expected Loads in Distributed Computing Systems
Explore coding theory applications in distributed computing systems, focusing on erasure coding's role in handling unpredictable data access patterns and optimizing storage efficiency.
FedOpt++ - Federation Beyond Uniform Client Selection, Optimization Beyond Simple Minimization
Delve into advanced federated learning concepts, exploring cyclic client participation patterns and minimax optimization for distributed machine learning applications and theoretical frameworks.
Heterogeneity-Aware Algorithms for Federated Learning and Distributed Optimization
Delve into advanced federated learning algorithms, focusing on heterogeneity challenges in distributed model training and innovative solutions for edge computing optimization.
LLM2LLM: Synthetic Data Generation for Fine-Tuning AI Models
Explore how large language models can generate synthetic data to teach and fine-tune other LLMs, with insights into performance metrics and applications for edge devices.
Driving Smart Retail Pricing Through IoT and Cloud-Based Solutions for Omni-Channel Stores
Discover how IoT and cloud solutions revolutionize retail pricing automation, leveraging AI for real-time updates and self-correction across millions of devices in omnichannel environments.
Eclipse Thingweb and NEPHELE - Building Interoperable IoT Solutions and Meta-orchestration
Discover how to build scalable IoT solutions using Eclipse Thingweb and NEPHELE, exploring W3C Web of Things standards and open-source meta-orchestration for computing continuum implementation.
Edge AI System Compatibility with MQTT and Sparkplug
Discover how to seamlessly integrate Edge AI systems with MQTT and Sparkplug networks, focusing on common formats for input/output data transmission.
Edge of Things: Building a DIY Mobile BeeHive Scale with Eclipse CoAP and TinyDTLS
Learn to build battery-powered mobile beehive scales using Eclipse/Californium and Eclipse/tinydtls, with hands-on guidance for DIY IoT construction and implementation.
Containerization and Orchestration of RISC-V Architectures for Edge-Cloud Computing
Explore containerization and orchestration implementation on RISC-V systems through KubeEdge-V, examining performance metrics and comparing with ARM-based equivalents for edge-cloud computing solutions.
Eclipse IoT and Edge Native Projects: Architecture and Integration Overview
Explore Eclipse Foundation's comprehensive IoT and Edge Native portfolio, featuring 40+ projects and their integration into IoT architecture, with insights into six major European research initiatives.
Improving Autonomous Driving Platforms with Zenoh-Flow Data Flow System
Discover how Zenoh-Flow structures complex applications into computing units, demonstrated through an Autonomous Driving platform implementation with focus on deployment automation and business logic development.
Route and Store MQTT Messages Anywhere with Eclipse Zenoh - Communication Middleware Integration
Discover how to bridge, route, and store MQTT messages across diverse networks using Eclipse Zenoh's plugin system for seamless IoT communication and data management.
Debugging Machine Learning on the Edge with MLExray
Explore MLExray for efficient debugging of edge-deployed machine learning models, covering benefits, deployment challenges, and practical demonstrations.
MLExray - Observability for Machine Learning on the Edge
Explore MLExray, an open-source framework for debugging ML models on edge devices. Learn to identify and solve common deployment issues, ensuring optimal performance across diverse environments.
Separation of Orchestration and Computation in KubeEdge - Understanding the Why and How
Explore KubeEdge's unique architecture separating cloud orchestration from edge computation, enabling scalable and flexible edge computing solutions with offline capabilities and optimized resource utilization.
Edge Kubernetes and Healthcare: A Next-Gen Architecture that Scales Across Thousands of Locations
Explore edge Kubernetes in healthcare, focusing on scalable architecture for thousands of locations. Learn about security, availability, and performance requirements in this transformative approach.
Building a Multi-Node Cluster with K3s Using ARM Devices for Edge Computing
Explore edge computing with K3s on ARM devices. Learn to build a production-ready cluster using Raspberry Pi, configure networks, and implement cloud-native storage for efficient data processing at the edge.
Running Kubernetes in a Manufacturing Line - What Could Possibly Go Wrong?
Explore challenges and solutions for running Kubernetes in manufacturing, including infrastructure services, autoscaling, and maintaining operations during connectivity issues or cyberattacks.