Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination

Usman Haider, Karl Mason

Federated Reinforcement Learning (FedRL) enables coordination of distributed energy resources without sharing raw local data, but standard aggregation methods such as FedAvg do not…