In federated learning (FL), heterogeneity among the local dataset distributions of clients can result in unsatisfactory performance for some, leading to an unfair model. To address this challenge, we ...

To optimize the setup so that both parties see the cost-saving potential of this new concept, a multi-objective linear programming (MOLP) model was developed to minimize the total cost by the ...