Federated Semantic Learning Driven by Information Bottleneck for Task-Oriented Communications-Reference-Cited by-同舟云学术

Federated Semantic Learning Driven by Information Bottleneck for Task-Oriented Communications

Author:

Wei Hao¹^ORCID,Ni Wanli²^ORCID,Xu Wenjun¹^ORCID,Wang Fengyu³^ORCID,Niyato Dusit⁴^ORCID,Zhang Ping¹^ORCID

Affiliation:

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

2. Department of Electronic Engineering, Tsinghua University, Beijing, China

3. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

4. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

Beijing University of Posts and Telecommunications (BUPT) Excellent Ph.D. Students Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

Reference20 articles.

1. Deep variational information bottleneck;alemi;Proc Int Conf Learn Represent,2017

5. Relation transformer network;koner;arXiv 2004 06193,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Federated Learning-Based Cooperative Model Training for Task-Oriented Semantic Communication;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20