Latest Articles for Distributed Systems

Approaches for managing virtual machine colorings in dynamic computing environments.

A new method for improving consensus in distributed systems using machine learning.

Exploring the role of distributed quantum computing in chemistry advancements.

A new method for agents to choose options efficiently and maximize rewards.

A new approach enhances data sharing among distributed AI models.

Explore the methods for consensus in systems facing faults and malicious behaviors.

Rorqual enhances transaction processing in blockchain using Trusted Execution Environments.

Learn about different consistency levels in distributed systems and their impact.

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

A new approach for efficient downlink beamforming using distributed methods.

Exploring strategies for finding maximum values amid corrupted data.

A new method enhances federated learning by addressing diverse data challenges.

Exploring new protocols for secure consensus in decentralized networks using quantum technology.

A new method for training CNNs directly on mobile and edge devices.

New methods improve decision-making in complex resource allocation problems.

A method for better handling large networks in machine learning.

Discover methods to secure communication in distributed systems against eavesdroppers.

A study analyzing blockchain fault tolerance across five modern systems.

A new algorithm improves coordination among nodes under communication limits.

An overview of the importance and methods for verifying distributed systems.

Domino improves training speed of language models by optimizing communication between GPUs.

Introducing a faster approach to solve distributed optimization problems using control theory.

Investigating local updates for better communication in adaptive optimization methods.

A look at goodness-of-fit testing in data spread across multiple servers.

This research simplifies communication in pointer chasing to improve computing efficiency.

Learn how to reduce communication overhead in deep learning models to improve training speed.

Strategies to overcome delays in distributed computing for matrix tasks.

Learn how better trace analysis can simplify troubleshooting in complex systems.

TRAIL enhances federated learning by addressing unreliable clients effectively.

Learn how Byzantine fault tolerance ensures system reliability in the face of failures.

A look at how peers gather information in complex systems.