Siren
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai
2. Louisiana State University, Baton Rouge, Louisiana
3. Queen's University Belfast Belfast, Northern Ireland
4. Huawei Technologies Co., Ltd., Hangzhou, Zhejiang
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3472883.3486990
Reference33 articles.
1. Dan Alistarh Zeyuan Allen-Zhu and Jerry Li. 2018. Byzantine Stochastic gradient descent. In Advances in Neural Information Processing Systems (NeurIPS). Dan Alistarh Zeyuan Allen-Zhu and Jerry Li. 2018. Byzantine Stochastic gradient descent. In Advances in Neural Information Processing Systems (NeurIPS).
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1. Siren+: Robust Federated Learning With Proactive Alarming and Differential Privacy;IEEE Transactions on Dependable and Secure Computing;2024-09
2. RFL-LSU: A Robust Federated Learning Approach with Localized Stepwise Updates;ACM Transactions on Internet Technology;2024-08-30
3. Privacy-Aware Offloading Strategy via Self-Supervised Feature Mapping in the End-Edge-Cloud System;ACM Transactions on Sensor Networks;2024-08-02
4. TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2024-06-24
5. Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19
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