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Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures
Wirelessly connected devices can collaborately train a machine learning model using federated learning, where the aggregation of model updates occurs using over-the-air computation.
Decentralized Learning over Wireless Networks: The Effect of Broadcast with Random Access
In particular, we investigate the impact of broadcast transmission and probabilistic random access policy on the convergence performance of D-SGD, considering the broadcast nature of wireless channels and the link dynamics in the communication topology.
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