Fengwei Wang

Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries

2024 · IEEE Transactions on Services Computing

The ever-growing data scale and increasingly strict privacy restraint have recently drawn extensive attention to federated learning (FL) as a multi-party machine learning paradigm for achieving high-quality model construction without data collection. Nevertheless, uploading local …