Search Results for author: Michail Gkagkos

Found 1 papers, 0 papers with code

PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning

no code implementations24 Jan 2023 Michail Gkagkos, Krishna R. Narayanan, Jean-Francois Chamberland, Costas N. Georghiades

The goal is to create a low complexity, linear compression strategy, called PolarAir, that reduces the size of the gradient at the user side to lower the number of channel uses needed to transmit it.

Federated Learning

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