V. Binu

Agentic Federated Learning: Rule-Based Client and Server Agents for Adaptive Training

Federated Learning (FL) enables collaborative model training across distributed clients without sharing raw data, making it suitable for privacy-sensitive applications such as healthcare, finance, and edge intelligence. However, conventional FL approaches rely on static client participation and fixed aggregation strate...