Qilei Li

Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense

2024 · arXiv (Cornell University)

Federated Learning (FL) is a distributed machine learning diagram that enables multiple clients to collaboratively train a global model without sharing their private local data. However, FL systems are vulnerable to attacks that are happening …