Decentralized Aggregation for Energy-Efficient Federated Learning via Overlapped Clustering and D2D Communications

Mohammed S. Al-Abiad, Mohanad Obeed, Md. Jahangir Hossain +1

Federated learning (FL) has emerged as a distributed machine learning (ML) technique to train models without sharing users' private data. In this paper, we propose a decentralized…