2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
EMNLP 2022main
Recent advances in federated learning have demonstrated its promising capability to learn on decentralized datasets. However, a considerable amount of work has raised concerns due to the potential risks of adversaries participating in the framework to poison the global model for an adversarial purpo…