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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…
cs.LG2026
Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
Jinlin Liu, Wei Chen, Xiaojin Zhang
Collecting web data to train deep models has become increasingly common, raising concerns about unauthorized data usage. To mitigate this issue, unlearnable examples introduce impe…