Coded Over-the-Air Computation for Model Aggregation in Federated Learning
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
Funder
NSF of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
https://ieeexplore.ieee.org/ielam/4234/10008392/9895450-aam.pdf
Reference14 articles.
1. Computation Over Gaussian Networks With Orthogonal Components
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4. SuperNeurons: FFT-based gradient sparsification in the distributed training of deep neural networks;wang;arXiv 1811 08596,2018
5. Gradient Statistics Aware Power Control for Over-the-Air Federated Learning
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