Latest Articles for Distributed Systems

MUSIC framework enhances distributed optimization by improving speed and reducing communication costs.

A new technique improves the verification of large distributed systems.

ALock simplifies synchronization in RDMA, boosting performance and reducing latency.

Discover how FedCRL improves machine learning while protecting user privacy.

New methods enhance training in decentralized federated learning systems.

This study analyzes how agents interact and reach consensus using unordered data protocols.

A new method improves machine learning training efficiency while protecting data privacy.

New algorithms tackle challenges in distributed optimization with unreliable agents.

Learn about the importance of consensus in today’s connected devices.

New method improves device selection efficiency in federated learning.

Learn how probabilistic Byzantine fault tolerance enhances consensus in distributed systems.

Exploring how consensus can be achieved despite unknown participants and faults.

New methods improve the creation of distributed protocols for reliable computing.

A new protocol, pRFT, improves consensus amid rational players in distributed systems.

A look into how different monitoring systems check complex behaviors.

An overview of classical and quantum approaches to network reliability.

This article introduces a reliable logical clock system for managing events in distributed networks.

Federated Batch Normalization improves model training in distributed learning environments.

Improving distributed learning through adaptive robust clipping techniques.

New methods enhance reliability and efficiency in machine learning distributed systems.

Client2Vec enhances federated learning by creating unique identifiers for user data.

Arma offers a scalable solution for reliable transaction processing in distributed networks.

A new method to improve federated learning through Multi-Level Additive Modeling.

Research tackles the black hole search problem in changing networks.

Learn how to create SWMR registers that withstand Byzantine process challenges.

DAG-based BFT protocols improve scalability and efficiency in transaction processing.

Introducing Federated Dynamic Averaging for improved communication in distributed deep learning.

SpaFL enhances communication and computation in Federated Learning while securing personal data.

A look at how Rust facilitates distributed shared memory management.

New methods improve quantum circuit cutting efficiency for distributed systems.

This article addresses how to simulate client data for faster federated learning.

New methods aim to enhance the efficiency of quantum circuit execution over networks.

Discover strategies for efficient resource allocation in deep learning.

LDMeta enhances privacy and efficiency in distributed learning methods.

A new method improves federated learning by using only one image for training.

This paper discusses a model for fault-tolerant distributed systems focused on weak recovery.

New methods improve communication and accuracy in decentralized learning 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.