2024
Cell-Less Offloading of Distributed Learning Tasks in Multi-Access Edge Computing.
IEEE Trans. Mob. Comput., December, 2024

2023
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.
CoRR, 2023

2022
Consensus-Based Cooperative Algorithms for Training Over Distributed Data Sets Using Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2022

Velocity-Based Path Following Control for Autonomous Vehicles to Avoid Exceeding Road Friction Limits Using Sliding Mode Method.
IEEE Trans. Intell. Transp. Syst., 2022

A distributed deep reinforcement learning method for traffic light control.
Neurocomputing, 2022

2021
Distributed Heuristic Adaptive Neural Networks With Variance Reduction in Switching Graphs.
IEEE Trans. Cybern., 2021

A consensus-based decentralized training algorithm for deep neural networks with communication compression.
Neurocomputing, 2021

2020
Distributed Training for Multi-Layer Neural Networks by Consensus.
IEEE Trans. Neural Networks Learn. Syst., 2020