An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchange

Ruonan Dong, Hui Xu, Han Zhang +1

Federated Learning (FL) is a distributed machine learning paradigm that addresses privacy concerns in machine learning and still guarantees high test accuracy. However, achieving t…