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

FREQSEL: A Frequency-Based Method for Client Selection in Federated Learning

Abstract: Federated learning (FL) is a machine learning approach that allows multiple devices to collaborate in constructing a shared prediction model while keeping their sensitive data decentralized, ...