3 papers
cs.IT2025
Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission
Chong Zhang, Min Dong, Ben Liang +2
Federated learning (FL) over wireless networks using analog transmission can efficiently utilize the communication resource but is susceptible to errors caused by noisy wireless li…
cs.IT2025
Power-Efficient Over-the-Air Aggregation with Receive Beamforming for Federated Learning
Faeze Moradi Kalarde, Min Dong, Ben Liang +2
This paper studies power-efficient uplink transmission design for federated learning (FL) that employs over-the-air analog aggregation and multi-antenna beamforming at the server.…
cs.IT2024
Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning
Chong Zhang, Min Dong, Ben Liang +2
We propose an uplink over-the-air aggregation (OAA) method for wireless federated learning (FL) that simultaneously trains multiple models. To maximize the multi-model training con…