Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers
By Cong Xie. 2019
22 citations recorded by the source corpus.
Subfields: Optimization & Training
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Optimization & Training
- Shashank Rajput
- Dimitris Papailiopoulos
- Hongyi Wang
- Saurabh Agarwal
- Kangwook Lee
- Harit Vishwakarma
- Kartik K. Sreenivasan
- Jy-yong Sohn
Citations in the corpus
- Attack of the Tails: Yes, You Really Can Backdoor Federated Learning (2020, background): “Across most FL settings, it is assumed that there is no single, central authority that owns or verifies the training data or user hardware, and it has been argued by many recent studies that FL lends itself to new adversarial attacks during decentralized model training [12, 13, 14, 15, 16, 17, 18, 1”