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Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL
Reference #: 01612 The University of South Carolina is offering licensing opportunities for Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL 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: 10/24/2022
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Inventor(s):
Alphan Sahin
Keywords(s):
federated learning
,
non-coherent computation
,
over-the-air computation
,
quantization
,
signed-digit number system
Category(s):
Software and Computing
,
Engineering and Physical Sciences
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