The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy

Jiating Ma, Yipeng Zhou, Qi Li +3

To preserve the data privacy, the federated learning (FL) paradigm emerges in which clients only expose model gradients rather than original data for conducting model training. To…