Latest Articles for Distributed Systems

This article examines new methods in finite-sum optimization under the PL condition.

An overview of the Raft algorithm for consensus in distributed systems.

Learn how sharding improves database performance and efficiency.

A new algorithm enhances performance and reliability in state machine replication across wide-area networks.

A look into resource semantics and its applications in modeling systems.

New algorithm allows devices to agree despite communication challenges.

Analyzing threats and defenses in federated learning against malicious attacks.

Interpipe enhances blockchain connectivity through cross-chain state channels.

A study on managing data structures for efficient multi-user access.

A new method enhances agreement among agents despite imprecise data and adversarial behavior.

Learn the importance of validating distributed program traces against specifications.

Learn how clock synchronization impacts the efficiency of distributed systems.

Examining strategies to improve communication reliability between clients and servers.

Learn about rollups, their types, components, and properties in blockchain technology.

New methods improve string sorting speed and efficiency for large data sets.

This paper evaluates memory usage and response time as ageing indicators.

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.