Survey of Privacy Threats and Countermeasures in Federated Learning

Masahiro Hayashitani, Junki Mori, Isamu Teranishi

Federated learning is widely considered to be as a privacy-aware learning method because no training data is exchanged directly between clients. Nevertheless, there are threats to…