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Methods for Reliable Over-the-Air Computation with Pulses for Distributed Learning
Reference #: 01541 The University of South Carolina is offering licensing opportunities for Methods for Reliable Over-the-Air Computation with Pulses for Distributed Learning Background: Federated edge learning (FEEL) is an implementation of federated learning (FL) over a wireless network to train a model by using the local data at the edge devices...
Published: 9/3/2022   |   Inventor(s): Alphan Sahin, Everette Bryson, Safi Shams Muhtasimul Hoque
Keywords(s): DFT-s-OFDM, Distributed learning, federated edge learning, orthogonal frequency division multiplexing, over-the-air computation, peak-to-mean envelope power ratio, pulse-position modulation, SC-FDE
Category(s): Software and Computing, Engineering and Physical Sciences
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