Pydimarri Padmaja

Mobility-Robust Beamforming for Multi-Cell Integrated Sensing and Communication Using Temporal Federated Learning

Experimental findings indicate that TFL achieves quicker convergence and delivers a superior weighted ISAC utility for users, alongside improved communication and sensing performance, and a more potent blend of communication-sensing advantages compared to per-cell learning, standard federated learning, privacy-compromising federated learning, and mobility-aware federated learning approaches.