Poisoning Decentralized Collaborative Recommender System and Its Countermeasures-Reference-Cited by-同舟云学术

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures

Published:2024-07-10 Issue: Volume: Page:1712-1721
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zheng Ruiqi¹^ORCID,Qu Liang¹^ORCID,Chen Tong²^ORCID,Zheng Kai³^ORCID,Shi Yuhui¹^ORCID,Yin Hongzhi⁴^ORCID

Affiliation:

1. Southern University of Science and Technology, Shenzhen, China

2. The University of Queensland, Brisbane, Australia

3. University of Electronic Science and Technology of China, Chengdu, China

4. The University of Queensland, Brisbane, QLD, Australia

Funder

Australian Research Council Discovery Early Career Researcher Award

Australian Research Council Discovery Project

Australian Research Council Future Fellowship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657814

Reference49 articles.

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2. I. Bistritz A. Mann and N. Bambos. 2020. Distributed Distillation for On-Device Learning. In Neural Information Processing Systems.

3. Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, and Julien Stainer. 2017. Machine learning with adversaries: Byzantine tolerant gradient descent. Advances in neural information processing systems, Vol. 30 (2017).

4. Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization

5. Fei Chen, Mi Luo, Zhenhua Dong, Zhenguo Li, and Xiuqiang He. 2018. Federated meta-learning with fast convergence and efficient communication. arXiv preprint arXiv:1802.07876 (2018).

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