Decentralized Federated Learning on the Edge over Wireless Mesh Networks

no code implementations • 2 Nov 2023 • Abdelaziz Salama, Achilleas Stergioulis, Syed Ali Zaidi, Des McLernon

Federated learning enables model training at the edge, leveraging the processing capacity of edge devices while preserving privacy and mitigating data transfer bottlenecks.

Benchmarking Federated Learning

FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA

no code implementations • 29 Mar 2023 • Abdelaziz Salama, Syed Ali Zaidi, Des McLernon, Mohammed M. H. Qazzaz

In our proposed model, frequency allocation is performed on the basis of spatial clustering performed using virtual cells.

Clustering Federated Learning