Latest Articles for Distributed Systems

New strategies enhance DBMC for faster agreement in networks.

A new algorithm optimizes multi-agent systems while protecting user privacy.

A look into the importance of verifying CCF for secure cloud applications.

Task fusion enhances performance in distributed computing through efficient task management.

A new framework enhances reliability in asynchronous communication systems through time management.

A new method to improve machine learning training with diverse data.

Exploring the effects of adversarial influence on half-duplex communication efficiency.

Examining how threshold automata improve distributed algorithm verification.

Examining quantization techniques for better distributed learning across various network structures.

A method for calculating averages while keeping node data private.

This study examines how network layout affects decentralized federated learning amidst Byzantine threats.

A new algorithm enhances decision-making in multi-agent environments with limited visibility.

This study reveals how shared randomness improves efficiency in solving local distributed problems.

Exploring choreographic programming with algebraic effects to enhance distributed application development.

A formal approach to ensure reliability in stateful dataflow systems like Apache Flink.

Toychain streamlines secure communication among robots for collaborative tasks.

A novel approach to enhance security in federated learning against backdoor attacks.

Cellular automata improve network design through reliability and efficient communication.

Introducing a distributed key-value store to enhance data security in cloud environments.

A new approach enhances model training while protecting data privacy.

Examining how agents learn faster together despite communication delays.

New method enhances Graph Neural Network training efficiency and accuracy.

New method enhances privacy for vision transformers in machine learning.

New methods enhance speed and efficiency of atomic snapshots in message-passing systems.

This paper examines the synergy between Federated Learning and control applications.

This article discusses recomposition's role in improving software verification processes.

A new protocol enhances efficiency and randomness in peer sampling for P2P networks.

FADAS improves federated learning by allowing asynchronous client updates while maintaining data privacy.

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.