CFSL: A Credible Federated Self-Learning Framework-Reference-Cited by-同舟云学术

CFSL: A Credible Federated Self-Learning Framework

Published:2023-12-15 Issue:24 Volume:10 Page:21349-21362
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Weishan¹^ORCID,Bao Zhicheng¹^ORCID,Liu Yuru¹^ORCID,Xu Liang²,Lu Qinghua³^ORCID,Ning Huansheng²^ORCID,Wang Xiao⁴^ORCID,Yang Su⁵^ORCID,Wang Fei-Yue⁴^ORCID,Li Zengxiang⁶

Affiliation:

1. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

2. College of Computer and Communication Engineering, Beijing University of Science and Technology, Beijing, China

3. Data61, CSIRO, Sydney, NSW, Australia

4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

5. College of Computer Science, Fudan University, Shanghai, China

6. ENN Group, Institute of Digital Research, Langfang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/10353047/10153777.pdf?arnumber=10153777

Reference46 articles.

1. Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

2. An Open Internet of Things System Architecture Based on Software-Defined Device

3. Federated optimization in heterogeneous networks;Li

4. Towards Personalized Federated Learning

5. Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data;Jeong;arXiv:1811.11479,2018

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