1. Federated learning: Challenges, methods, and future directions;Li;IEEE Signal Process. Mag.,2020
2. P. Blanchard, E.M. El Mhamdi, R. Guerraoui, J. Stainer, Machine learning with adversaries: Byzantine tolerant gradient descent, in: Annual Conference on Neural Information Processing Systems, 2017, pp. 119–129.
3. Local model poisoning attacks to Byzantine-robust federated learning;Fang,2020
4. Label noise analysis meets adversarial training: A defense against label poisoning in federated learning;Hallaji;Knowl.-Based Syst.,2023
5. FLCert: Provably secure federated learning against poisoning attacks;Cao;IEEE Trans. Inf. Forensic Secur.,2022