FedTop: a constraint-loosed federated learning aggregation method against poisoning attack
Che WANG, Zhenhao WU, Jianbo GAO, Jiashuo ZHANG, Junjie XIA, Feng GAO, Zhi GUAN, Zhong CHEN
FedTop: a constraint-loosed federated learning aggregation method against poisoning attack
[1] |
Yang Q, Liu Y, Chen T, Tong Y. Federated machine learning: concept and applications. ACM Transactions on Intelligent Systems and Technology, 2019, 10(2): 12
|
[2] |
Gupta P, Yadav K, Gupta B B, Alazab M, Gadekallu T R. A novel data poisoning attack in federated learning based on inverted loss function. Computers & Security, 2023, 130: 103270
|
[3] |
Pillutla K, Kakade S M, Harchaoui Z. Robust aggregation for federated learning. IEEE Transactions on Signal Processing, 2022, 70: 1142−1154
|
[4] |
Xie C, Chen M, Chen P Y, Li B. CRFL: certifiably robust federated learning against backdoor attacks. In: Proceedings of the 38th International Conference on Machine Learning. 2021, 11372–11382
|
[5] |
Xie C, Koyejo S, Gupta I. Zeno++: robust fully asynchronous SGD. In: Proceedings of the 37th International Conference on Machine Learning. 2020, 972
|
[6] |
Li X, Huang K, Yang W, Wang S, Zhang Z. On the convergence of fedAvg on non-IID data. In: Proceedings of the 8th International Conference on Learning Representations. 2020
|
[7] |
Blanchard P, El Mhamdi E M, Guerraoui R, Stainer J. Machine learning with adversaries: Byzantine tolerant gradient descent. In: Proceedings of the 31st International Conference on Neural Information Processing Systems. 2017, 118–128
|
[8] |
Deng L. The MNIST database of handwritten digit images for machine learning research [Best of the Web]. IEEE Signal Processing Magazine, 2012, 29(6): 141−142
|
[9] |
Krizhevsky A. Learning multiple layers of features from tiny images. Toronto: University of Toronto, 2009
|
[10] |
Alamoudi E S, Alghamdi N S. Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings. Journal of Decision Systems, 2021, 30(2−3): 259–281
|
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