2022
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
AAAI 2022technical
Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that enables multiple clients to collaboratively train statistical models without disclosing raw training data. However, the inaccessible local training data and uninspectable local training process make FL suscept…