1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
2. A little is enough: Circumventing defenses for distributed learning;Baruch;Advances in Neural Information Processing Systems,2019
3. The limitations of federated learning in sybil settings;Fung,2020
4. How to backdoor federated learning;Bagdasaryan,2020
5. Byzantine-robust distributed learning: Towards optimal statistical rates;Yin,2018