Atefeh Salimi Shahraki

Secure and trust-aware pricing mechanisms for flexible energy markets in electric vehicle charging station integrated microgrids: A multi-agent reinforcement learning approach

An adaptive federated few-shot learning method with intelligent device selection

Federated learning, which enables the training of intelligent models without transferring data and solely by relying on the computational capabilities of distributed devices, faces significant challenges in few-shot scenarios due to data heterogeneity, resource constraints, and slow convergence. The primary obstacle li...