FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder

12 July 2024

Papers citing "FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder"

8 / 8 papers shown

Title
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James Jianqiao Yu FedML 63 28 0 14 Oct 2021
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection Jinmeng Rao Song Gao Yuhao Kang Qunying Huang 111 109 0 14 Jun 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James Jianqiao Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 68 448 0 19 Mar 2020
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 109 1,005 0 23 Jul 2019
Inferring transportation modes from GPS trajectories using a convolutional neural network S. Dabiri K. Heaslip 54 330 0 05 Apr 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 181 1,241 0 16 Feb 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 295 4,807 0 04 Jan 2016