2 papers
cs.CR2026
FedPix: Learning What to Share with Less Leakage in Federated Intelligence
Jingwei Zhao, Tiantong Sun, Yuanyuan Song +7
Existing federated intelligence paradigms primarily focus on how models are trained or aggregated, while overlooking a more fundamental question: \textbf{what information should le…
cs.LG2026
FUSE: Fairness-aware Update Screening against Byzantine Exploitation in -Fair Federated Learning
Tiantong Sun, Jinlin Liu, Xingru Wei +4
Client-level fair federated learning, in the form of -fair federated learning (-FFL), agnostic federated learning, or tilted empirical risk minimization, has emerged as an at…