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Privacy-Preserving Aggregation in Federated Learning: A Survey

  • Published:2022 Issue: Volume: Page:1-20
  • ISSN:2332-7790
  • Container-title:IEEE Transactions on Big Data
  • language:
  • Short-container-title:IEEE Trans. Big Data

Author:

Liu Ziyao1ORCID,Guo Jiale1ORCID,Yang Wenzhuo1,Fan Jiani1ORCID,Lam Kwok-Yan1ORCID,Zhao Jun1ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore

Funder

National Research Foundation, Singapore

Nanyang Technological University

NTU-WASP Joint Project

Singapore Ministry of Education Academic Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Cited by 39 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. Distributed optimal subsampling for quantile regression with massive data;Journal of Statistical Planning and Inference;2024-12

2. Client-Side Gradient Inversion Attack in Federated Learning Using Secure Aggregation;IEEE Internet of Things Journal;2024-09-01

3. Efficient FHE-Based Privacy-Enhanced Neural Network for Trustworthy AI-as-a-Service;IEEE Transactions on Dependable and Secure Computing;2024-09

4. On the Information Theoretic Secure Aggregation With Uncoded Groupwise Keys;IEEE Transactions on Information Theory;2024-09

5. Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs;IEEE Transactions on Dependable and Secure Computing;2024-09
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