A Distributed Privacy-Preserving Learning Dynamics in General Social Networks-Reference-Cited by-同舟云学术

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A Distributed Privacy-Preserving Learning Dynamics in General Social Networks

Published:2023-09-01 Issue:9 Volume:35 Page:9547-9561
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Tao Youming¹^ORCID,Chen Shuzhen¹^ORCID,Li Feng¹^ORCID,Yu Dongxiao¹^ORCID,Yu Jiguo²^ORCID,Sheng Hao³^ORCID

Affiliation:

1. School of Computer Science and Technology, Shandong University, Qingdao, China

2. Big Data Institute, Qilu University of Technology, Jinan, China

3. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Pilot Project for Integrated Innovation of Science

Education and Industry of the Qilu University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10210449/10035414.pdf?arnumber=10035414

Reference40 articles.

1. Multi-armed bandits with local differential privacy;ren,2020

2. User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization

3. Global and Local Differential Privacy for Collaborative Bandits

4. Prediction poisoning: Towards defenses against DNN model stealing attacks;orekondy;Proc 8th Int Conf Learn Representations,2020

5. Reinforcement with Fading Memories

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