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Learning OTA: A Unified Framework for Edge Sensing, Computation, and Communication
Most federated learning (FL) studies implicitly assume that training data is readily available at participating edge devices. In practice, this data must first be acquired through heterogeneous sensors with potentially different measurement modalities, and the quality and cost of this acquisition pr
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