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Methods for Multi-cell Over-the-Air Computation for Distributed Learning
Reference #: 01573
The University of South Carolina is offering licensing opportunities for Methods for Multi-cell Over-the-Air Computation for Distributed Learning
Background:
Federated edge learning (FEEL) is a distributed learning framework that leverages the computational powers of edge devices (EDs) and uses the local data at the EDs without...
Published: 7/10/2026
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Updated: 7/21/2022
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Inventor(s): Mohammad Hassan Adeli, Alphan Sahin
Keywords(s): Distributed learning, federated edge learning, frequency-shift keying, orthogonal frequency division multiplexing, over-the-air computation, peak-to-mean envelope power ratio
Category(s): Engineering and Physical Sciences, Software and Computing
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