FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

FL-GUARD introduces a dynamic framework for detecting and recovering from Negative Federated Learning in real-time, ensuring improved performance and adaptability in federated learning systems.