Hierarchically Fair Federated Learning

Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly +1

When the federated learning is adopted among competitive agents with siloed datasets, agents are self-interested and participate only if they are fairly rewarded. To encourage the…