IEEE

Over-the-Air Fair Federated Learning via Multi-Objective Optimization

Abstract: 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 ...
IEEE

Fed3D: Enhancing Security in Federated Learning with Dataset Distillation

Dataset Distillation (DD) compresses large datasets into compact representations while preserving performance, offering substantial benefits for Federated Learning (FL). However, using distilled ...