Price-Discrimination Game for Distributed Resource Management in Federated Learning

In vanilla federated learning (FL) such as FedAvg, the parameter server (PS) and multiple distributed clients can form a typical buyer's market, where the number of PS/buyers of FL services is far less than the number of clients/sellers. In order to improve the performance of FL and reduce the cost of motivating clients to participate in FL, this paper proposes to differentiate the pricing for services provided by different clients rather than simply providing the same service pricing for different …

cost cs.gt cs.lg discrimination distributed federated learning form game management multiple performance price reduce server services