Byzantine machine learning: A primer

R Guerraoui, N Gupta, R Pinot - ACM Computing Surveys, 2024 - dl.acm.org
The problem of Byzantine resilience in distributed machine learning, aka Byzantine machine
learning, consists of designing distributed algorithms that can train an accurate model …

Attack of the tails: Yes, you really can backdoor federated learning

H Wang, K Sreenivasan, S Rajput… - Advances in neural …, 2020 - proceedings.neurips.cc
Due to its decentralized nature, Federated Learning (FL) lends itself to adversarial attacks in
the form of backdoors during training. The goal of a backdoor is to corrupt the performance …

Byzantine fault-tolerance in peer-to-peer distributed gradient-descent

N Gupta, NH Vaidya - arxiv preprint arxiv:2101.12316, 2021 - arxiv.org
We consider the problem of Byzantine fault-tolerance in the peer-to-peer (P2P) distributed
gradient-descent method--a prominent algorithm for distributed optimization in a P2P …