Dual-Segment Clustering Strategy for Federated Learning in Heterogeneous Environments

no code implementations • 15 May 2024 • Pengcheng Sun, Erwu Liu, Wei Ni, Kanglei Yu, Rui Wang, Abbas Jamalipour

Federated learning (FL) is a distributed machine learning paradigm with high efficiency and low communication load, only transmitting parameters or gradients of network.

Clustering Federated Learning

A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning

no code implementations • 20 Apr 2024 • Pengcheng Sun, Erwu Liu, Rui Wang

The quality of wireless communication will directly affect the performance of federated learning (FL), so this paper analyze the influence of wireless communication on FL through symbol error rate (SER).

Federated Learning Quantization