Secrecy Driven Federated Learning via Cooperative Jamming: An Approach of Latency Minimization

Author:

Wang Tianshun1ORCID,Li Yang1ORCID,Wu Yuan1ORCID,Quek Tony Q.S.2ORCID

Affiliation:

1. Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China

2. Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore

Funder

Fundo para o Desenvolvimento das Ciências e da Tecnologia

National Research Foundation Singapore

Info-communications Media Development Authority

Future Communications Research & Development Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Reference40 articles.

1. A quantitative measure of fairness and discrimination for resource allocation in shared computer systems;jain,1998

2. Subgradient methods;boyd;Lecture notes of EE392o,0

3. Processor design for portable systems

4. Securing federated learning: A covert communication-based approach;xie,2021

5. Latency Minimization in Covert Communication-Enabled Federated Learning Network

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