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cs.IT2026
Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling
Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2
To mitigate the scalability bottleneck in the radio access network (RAN) in federated edge learning (FEEL), over-the-air federated learning (AirFL) exploits waveform superposition…
cs.IT2024
NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +1
Over-the-air federated learning (FL), i.e., AirFL, leverages computing primitively over multiple access channels. A long-standing challenge in AirFL is to achieve coherent signal a…
cs.IT2023
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory
Haifeng Wen, Hong Xing, Osvaldo Simeone
Addressing the communication bottleneck inherent in federated learning (FL), over-the-air FL (AirFL) has emerged as a promising solution, which is, however, hampered by deep fading…