
Novel event-based protocol for datacenter communication eliminates conventional heartbeats and timeouts, enabling efficient recovery for distributed algorithms at scale and composing into graph-based distributed communications.

Explore distributed algorithms for submodular maximization in machine learning, focusing on a parallel approach that achieves constant factor approximation guarantees for large-scale problems.

Explore privacy-preserving algorithms for decentralized collaborative learning, focusing on large-scale machine learning, distributed methods, and privacy protection in connected device data analysis.

Explore deep learning applications, from basic concepts to advanced techniques. Learn about neural networks, optimization methods, and real-world uses in image and speech recognition.

Explore cutting-edge streaming and distributed algorithms in this IEEE conference session, featuring innovative research and insights for computational efficiency in large-scale systems.

Explore cutting-edge distributed algorithms in cryptography, discussing recent advancements and their implications for secure, decentralized systems.

Explore distributed, massively parallel, and local computation algorithms, focusing on their applications, challenges, and recent advancements in sublinear algorithmic techniques.

Efficient distributed algorithms for clustering high-dimensional data using Euclidean Minimum Spanning Tree, achieving constant factor approximation in O~(loglogn) rounds of MPC model.

Explore deterministic and randomized algorithms for distributed ruling sets, focusing on lower bounds, round elimination techniques, and open questions in the field.

Explore deterministic distributed algorithms for expander decompositions and routing, with applications in derandomization. Learn about balanced sparse cut algorithms and recursive techniques.

Explore connections between descriptive combinatorics and distributed algorithms, focusing on graph coloring problems and their applications in mathematics and computer science.

Explore TLA+ for reliable system design through a hands-on approach, solving a subtle concurrency issue to demonstrate its power in preventing critical failures and reducing debugging time.

Explore WASI-data for distributed computation, enabling portable WASM modules for analytics. Learn about its design, implementation, and potential to revolutionize data processing systems.

Innovative protocol for capturing partial snapshots in distributed cloud services, ensuring causal consistency without disrupting operations. Leverages load balancers for minimal changes and near-zero overhead.

Explore efficient parallel algorithms for locally checkable problems in sparse graphs, focusing on techniques beyond graph sparsification for improved performance in sublinear regimes.

Explore federated learning optimization with compression, focusing on convergence-compression tradeoffs, user-heterogeneity impacts, and a novel random codebook compression scheme.

Explore cutting-edge consensus protocols in cryptography, featuring expert presentations and discussions on the latest advancements in distributed systems and blockchain technology.