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cs.LG2026
Fine-grained Distributed Backdoor Attacks in Federated Learning
Jian Wang, Hong Shen, Wei Ke +1
Federated learning, as a privacy-preserving distributed machine learning paradigm, faces significant threats from backdoor attacks. Compared to centralized attacks, distributed bac…
cs.LG2026
Structure-Aware Distributed Backdoor Attacks in Federated Learning
Wang Jian, Shen Hong, Ke Wei +1
While federated learning protects data privacy, it also makes the model update process vulnerable to long-term stealthy perturbations. Existing studies on backdoor attacks in feder…