Balancing Privacy Protection and Interpretability in Federated Learning

Zhe Li, Honglong Chen, Zhichen Ni +1

Federated learning (FL) aims to collaboratively train the global model in a distributed manner by sharing the model parameters from local clients to a central server, thereby poten…