Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
Federated learning (FL) enables distributed optimization and learning across decentralized edge devices while preserving data privacy, but its performance is fundamentally constrai…
cs.LG2025
Learned Digital Over-the-Air Computing for Federated Edge Learning
Antonio Tarizzo, Mohammad Kazemi, Deniz Gündüz
Over-the-air (OTA) aggregation enables federated edge learning (FEEL) by exploiting the superposition property of the wireless channel to merge communication with computation, elim…
cs.LG2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
We study over-the-air (OTA) federated learning (FL) for energy harvesting devices with heterogeneous data distribution over wireless fading multiple access channel (MAC). To addres…