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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…
cs.IT2024
Fast Group Scheduling for Downlink Large-Scale Multi-Group Multicast Beamforming
Chong Zhang, Min Dong, Ben Liang +2
Next-generation wireless networks need to handle massive user access effectively. This paper addresses the problem of joint group scheduling and multicast beamforming for downlink…
cs.IT2024
Multi-Model Wireless Federated Learning with Downlink Beamforming
Chong Zhang, Min Dong, Ben Liang +2
This paper studies the design of wireless federated learning (FL) for simultaneously training multiple machine learning models. We consider round robin device-model assignment and…