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News/FUSE: Fairness-aware Update Screening against Byzantine Exploitation in $q$-Fair Federated Learning
arxiv
PublishedOctober 15, 2026 at 4:00 AM

FUSE: Fairness-aware Update Screening against Byzantine Exploitation in $q$-Fair Federated Learning

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arXiv:2610.20264v1 Announce Type: new Abstract: Client-level fair federated learning, in the form of $q$-fair federated learning ($q$-FFL), agnostic federated learning, or tilted empirical risk minimization, has emerged as an attractive solution to equalize utility across heterogeneous clients. This

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