Optimized Device Selection and Power Control for Wireless Federated Learning-Reference-Cited by-同舟云学术

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Optimized Device Selection and Power Control for Wireless Federated Learning

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Guo Wei¹,Li Ran¹,Huang Chuan¹,Qin Xiaoqi²,Shen Kaiming¹,Zhang Wei³

Affiliation:

1. The Chinese University of Hong Kong,School of Science and Engineering (SSE) and Future Network of Intelligence Institute (FNii),Shenzhen,China,518172

2. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876

3. University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,NSW,Australia,2052

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001306.pdf?arnumber=10001306

Reference17 articles.

1. On minimizing quadratically constrained ratio of two quadratic functions;beck;J Convex Anal,2010

2. Joint Device Selection and Power Control for Wireless Federated Learning

3. Semidefinite Relaxation of Quadratic Optimization Problems

4. Quantized Federated Learning Under Transmission Delay and Outage Constraints

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1. FedAC: Satellite-Terrestrial Collaborative Federated Learning with Alternating Contrastive Training;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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