Random Orthogonalization for Federated Learning in Massive MIMO Systems-Reference-Cited by-同舟云学术

Random Orthogonalization for Federated Learning in Massive MIMO Systems

Author:

Wei Xizixiang¹,Shen Cong¹,Yang Jing²,Poor H. Vincent³

Affiliation:

1. University of Virginia,Department of Electrical and Computer Engineering,USA

2. The Pennsylvania State University,Department of Electrical Engineering,USA

3. Princeton University,Department of Electrical and Computer Engineering,USA

Funder

National Science Foundation

Publisher

IEEE

Link

Reference18 articles.

1. Gradient estimation for federated learning over massive MIMO communication systems;jeon,2020

3. Aspects of favorable propagation in massive MIMO;ngo;Proc 22nd European Signal Processing Conference (EUSIPCO),2014

4. Local SGD converges fast and communicates little;stich;Proc International Conference on Learning Representations (ICLR),2018

5. On the convergence of FedAvg on non-IID data;li;Proc International Conference on Learning Representations (ICLR),2020

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