SVCA: Secure and Verifiable Chained Aggregation for Privacy-Preserving Federated Learning-Reference-Cited by-同舟云学术

SVCA: Secure and Verifiable Chained Aggregation for Privacy-Preserving Federated Learning

Published:2024-05-15 Issue:10 Volume:11 Page:18351-18365
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xia Yuanjun¹,Liu Yining¹^ORCID,Dong Shi²^ORCID,Li Meng³^ORCID,Guo Cheng⁴^ORCID

Affiliation:

1. Guangxi Key Laboratory of Trusted Software, School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, China

2. School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China

3. Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, the School of Computer Science and Information Engineering, the Anhui Province Key Laboratory of Industry Safety and Emergency Technology, and the Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China

4. School of Software Technology, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Innovation Project of GUET Graduate Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10427553.pdf?arnumber=10427553

Reference37 articles.

1. A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

2. Communication-efficient learning of deep networks from decentralized data;McMahan

3. Federated optimization: Distributed machine learning for on-device intelligence;Konečný;arXiv:1610.02527,2016

4. Federated learning: Strategies for improving communication efficiency;Konečný;arXiv:1610.05492,2016

5. Reinforcement Learning-Based Physical Cross-Layer Security and Privacy in 6G

Cited by 3 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

1. Secure pairing-free certificateless aggregate signcryption scheme for IoT;Journal of Systems Architecture;2024-11

2. Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks;IEEE Transactions on Intelligent Transportation Systems;2024

3. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024