Privacy-Preserving Tensor Factorization for Collaborative Health Data
Analysis

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

26 August 2019

Papers citing "Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis"

12 / 12 papers shown

Title
Asynchronous Federated Clustering with Unknown Number of Clusters Y. Zhang Yiqun Zhang Yang Lu Mengke Li Xi Chen Y. Cheung FedML 45 0 0 31 Dec 2024
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction Shuai Zhong Zengtong Tang Di Wu 28 0 0 29 Jul 2024
Federated Learning Using Coupled Tensor Train Decomposition Xiangtao Zhang Eleftherios Kofidis Ce Zhu Le Zhang Yipeng Liu FedML 41 1 0 05 Mar 2024
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels Qiuchen Zhang Jing Ma Jian Lou Li Xiong Xiaoqian Jiang NoLa 16 0 0 03 Nov 2022
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy Qiuchen Zhang Hong kyu Lee Jing Ma Jian Lou Carl Yang Li Xiong 30 10 0 10 Oct 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions Florian Becker A. Smilde E. Acar 19 4 0 01 Sep 2022
Applying Differential Privacy to Tensor Completion Zheng Wei Zhengpin Li Xiaojun Mao Jian Wang 24 1 0 01 Oct 2021
Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks Jing Ma Qiuchen Zhang Jian Lou Li Xiong S. Bhavani Joyce C. Ho 18 0 0 03 Sep 2021
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation Jenn-Bing Ong W. Ng Ivan Tjuawinata Chao Li Jielin Yang Sai None Myne Huaxiong Wang K. Lam C.-C. Jay Kuo FedML 38 3 0 04 Jan 2021
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 42 83 0 22 Jul 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 69 6,069 0 10 Dec 2019