Privacy-preserving user clustering in a social network
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5377995/5386439/05386476.pdf?arnumber=5386476
Cited by 23 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. On the Privacy of Federated Clustering: a Cryptographic View;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Efficient Privacy-Friendly and Flexible Wearable Data Processing With User-Centric Access Control;IEEE Access;2024
3. Oblivious Markov Decision Processes: Planning and Policy Execution;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
4. Practical multi-party private collaborative k-means clustering;Neurocomputing;2022-01
5. PPMCK: Privacy-preserving multi-party computing for K-means clustering;Journal of Parallel and Distributed Computing;2021-08
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