Online Power Control for Distributed Multitask Learning Over Noisy Fading Wireless Channels

Distributed (federated) machine learning requires agents, e.g., mobile devices and sensors, to exchange information with a parameter server, leading to substantial communication power consumption. Existing work on power management for distributed learning mainly focuses on single-task learning, wher...

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