Paper Accepted at IEEE Transactions on Vehicular Technology

On April 9, 2026, our paper “Phase-Synchronization-based Federated Learning for Edge Computing Over Decentralized Networks” was accepted at IEEE Transactions on Vehicular Technology (JCR IF 7.1).

• Paper

Summary

In this work, we propose FedKuramoto, a novel federated learning algorithm inspired by the phase-synchronization dynamics of the Kuramoto oscillator model.

My Contribution

I mainly led the large-scale experimental design and execution for this study.