IEEE

Client Selection in Federated Learning for Industry 5.0: A Heuristic-Guided Pointer Network Reinforcement Learning Approach

Abstract: Federated learning (FL) offers a promising distributed paradigm for managing massive data from Industry 5.0 devices while preserving privacy. However, significant challenges arise from ...
IEEE

Optimal Mechanism Design for Heterogeneous Client Sampling in Federated Learning

Abstract: Federated learning (FL) provides a collaborative paradigm for distributedly training a global model while protecting clients’ privacy. In addition to communication bottlenecks and non-i.i.d.