1. Fedsel: Federated sgd under local differential privacy with top-k dimension selection;Liu,2020
2. Intel SGX explained;Costan;IACR Cryptol. ePrint Arch.,2016
3. Olive: Oblivious federated learning on trusted execution environment against the risk of sparsification;Kato;Proc. VLDB Endow.,2023
4. Y. Zhang, Z. Wang, J. Cao, R. Hou, D. Meng, ShuffleFL: Gradient-preserving federated learning using trusted execution environment, in: Proceedings of the 18th ACM International Conference on Computing Frontiers, 2021, pp. 161–168.
5. P.C. Cheng, K. Eykholt, Z. Gu, H. Jamjoom, K. Jayaram, E. Valdez, A. Verma, Separation of Powers in Federated Learning (Poster Paper), in: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021, pp. 16–18.