Homomorphic Encryption-based Privacy-preserving Federated Learning in IoT-enabled Healthcare System-Reference-Cited by-同舟云学术

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Homomorphic Encryption-based Privacy-preserving Federated Learning in IoT-enabled Healthcare System

Published:2022 Issue: Volume: Page:1-17
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Zhang Li¹,Xu Jianbo¹,Vijayakumar Pandi²^ORCID,Sharma Pradip Kumar³^ORCID,Ghosh Uttam⁴^ORCID

Affiliation:

1. Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China

2. Computer Science and Engineering, University College of Engineering Tindivanam, Tindivanam, Tamilnadu, India

3. Department of Computing Science, University of Aberdeen, U.K.

4. Electrical Engineering and Computer Science, Vanderbilt University, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/09812492.pdf?arnumber=9812492

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2. Navigating the nexus of AI and IoT: A comprehensive review of data analytics and privacy paradigms;Internet of Things;2024-10

3. Weight-based Privacy-preserving Asynchronous SplitFed for Multimedia Healthcare Data;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-14

4. A Survey of Federated Learning for mmWave Massive MIMO;IEEE Internet of Things Journal;2024-08-15

5. Communication-Efficient and Privacy-Preserving Aggregation in Federated Learning With Adaptability;IEEE Internet of Things Journal;2024-08-01

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