Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Beibei Li 0002, Peiran Wang, Zerui Shao, Ao Liu, Yukun Jiang, Yizhou Li. Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach. Future Generation Comp. Syst., 147:136-148, 2023. [doi]

The following publications are possibly variants of this publication:

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated LearningBeibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang. ISCC 2021: 1-6 [doi]

Defending Against Byzantine Attacks in Quantum Federated LearningQi Xia, Zeyi Tao, Qun Li. msn 2021: 145-152 [doi]

ToFi: An Algorithm to Defend Against Byzantine Attacks in Federated LearningQi Xia, Zeyi Tao, Qun Li. securecomm 2021: 229-248 [doi]

RFVIR: A robust federated algorithm defending against Byzantine attacksYongkang Wang, Di-Hua Zhai, Yuanqing Xia. inffus, 105:102251, May 2024. [doi]

FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-MajorityYe Dong, Xiaojun Chen 0004, Kaiyun Li, Dakui Wang, Shuai Zeng. iacr, 2021:993, 2021. [doi]

FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-MajorityYe Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng. esorics 2021: 497-518 [doi]

runs on WebDSL