IEEE

Fairness-Aware Incentive Mechanism for Multi-Server Federated Learning in Edge-Enabled Wireless Networks With Differential Privacy

Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...
IEEE

Distributed Multiagent Reinforcement Learning Approach for Multiserver Multiuser Task Offloading

Abstract: The industrial manufacturing industry requires user devices (UDs) to process massive data, leading to latency and energy consumption. To achieve low-latency and low-power task execution, we ...