Deep-Reinforcement-Learning-Assisted Client Selection in Nonorthogonal-Multiple-Access-Based Federated Learning-Reference-Cited by-同舟云学术

Deep-Reinforcement-Learning-Assisted Client Selection in Nonorthogonal-Multiple-Access-Based Federated Learning

Author:

Albelaihi Rana¹^ORCID,Alasandagutti Akhil²^ORCID,Yu Liangkun¹^ORCID,Yao Jingjing³^ORCID,Sun Xiang¹^ORCID

Affiliation:

1. Department of Electrical and Computing Engineering, University of New Mexico, Albuquerque, NM, USA

2. Department of Computer Science, University of New Mexico, Albuquerque, NM, USA

3. Department of Computer Science, Texas Tech University, Lubbock, TX, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference37 articles.

3. Actor-critic algorithms;konda;Advances in neural information processing systems,1999

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