Work

Sign-Based Distributed Learning With Byzantine Resilience Based on Audit Mechanism

Year: 2025

Type: article

Source: IEEE Transactions on Information Forensics and Security

DOI: 10.1109/tifs.2025.3575582

Authors: Chengxi Li, Ming Xiao, Mikael Skoglund

Institution: KTH Royal Institute of Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Vetenskapsrådet

Awards: Communication-Efficient Decentralized Intelligence in 6G Systems, Coding for Large-scale Distributed Machine Learning

OpenAlex ID: W4410950200

FWCI: 0.831

Cites: 43

Cited by: 2

Related to: 10