Hierarchically Fair Federated Learning

22 Apr 2020Jingfeng ZhangCheng LiAntonio Robles-KellyMohan Kankanhalli

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 application of federated learning, this paper employs a management strategy, i.e., more contributions should lead to more rewards... (read more)

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