Mitigating Byzantine Attacks in Federated Learning

By Saurav Prakash, Amir Salman Avestimehr. 2020

44 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chaoyang He
2. Yang Liu
3. Murali Annavaram
4. Qiang Yang
5. Jinhyun So
6. Abhishek Singh
7. Praneeth Vepakomma
8. Qinbin Li

Citations in the corpus

• FedML: A Research Library and Benchmark for Federated Machine Learning (2020, background): “To tackle the challenge of trustworthiness, existing research focuses on developing new defense techniques for adversarial attacks to make FL robust [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 24, 27, 28], and proposing methods such as differential privacy (DP) and secure multiparty computation”