Distributed Machine Learning (DML) systems are utilized to enhance the speed of model training in data centers (DCs) and edge nodes. The Parameter Server (PS) communication architecture is commonly ...

Multi-agent deep reinforcement learning (MADRL) has been applied to EV charging scheduling. However, it relies on centralized training and thus is significantly challenged by privacy, communication ...