Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach-Reference-Cited by-同舟云学术

Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
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Author:

Ji Kaiyi¹^ORCID,Ying Lei²^ORCID

Affiliation:

1. University at Buffalo, Buffalo, NY, United States of America

2. University of Michigan, Ann Arbor, MI, United States of America

Funder

NSF

Publisher

ACM

Reference50 articles.

1. An $O(1/k)$ Gradient Method for Network Resource Allocation Problems

2. Xuxing Chen , Minhui Huang , and Shiqian Ma. 2022. Decentralized bilevel optimization. arXiv preprint arXiv:2206.05670 ( 2022 ). Xuxing Chen, Minhui Huang, and Shiqian Ma. 2022. Decentralized bilevel optimization. arXiv preprint arXiv:2206.05670 (2022).

3. Balancing Transport and Physical Layers in Wireless Multihop Networks: Jointly Optimal Congestion Control and Power Control;Chiang M.;IEEE Journal of Selected Areas in Communications 23(1),2005

4. M. Chiang , S. H. Low , A. R. Calderbank , and J. C. Doyle . 2007. Layering as optimization decomposition: A mathematical theory of network architectures . In Proceedings of the IEEE. 255--312 . M. Chiang, S. H. Low, A. R. Calderbank, and J. C. Doyle. 2007. Layering as optimization decomposition: A mathematical theory of network architectures. In Proceedings of the IEEE. 255--312.

5. Justin Domke. 2012. Generic methods for optimization-based modeling. In Artificial Intelligence and Statistics (AISTATS). PMLR 318--326. Justin Domke. 2012. Generic methods for optimization-based modeling. In Artificial Intelligence and Statistics (AISTATS). PMLR 318--326.