Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning-Reference-Cited by-同舟云学术

Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Sun Yuxuan¹,Zhou Sheng¹,Niu Zhisheng¹,Gunduz Deniz²

Affiliation:

1. Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084

2. Imperial College London,Department of Electrical and Electronic Engineering,London,UK,SW7 2BT

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

European Research Council

CHIST-ERA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839279.pdf?arnumber=9839279

Reference20 articles.

1. Scheduling Policies for Federated Learning in Wireless Networks

2. Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

3. Broadband Analog Aggregation for Low-Latency Federated Edge Learning

4. Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

5. Federated Learning Over Wireless Fading Channels

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