FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Federated learning (FL) is a distributed learning process that uses a trusted aggregation server to allow multiple parties (or clients) to collaboratively train a machine learning model without having them share their private data. Recent research, however, has demonstrated the effectiveness of inference and poisoning attacks on FL. Mitigating both …