Cost-Constrained Incentive Mechanism for Federated Learning
: Federated learning (FL) is an effective solution to address the problem of data silos, where multiple clients collaborate to train a model. Model training itself consumes significant communication and computational resources, implying that significant economic compensation needs to be paid to incentivize clients to p...