Federated Variational Learning for Anomaly Detection in Multivariate Time Series

18 August 2021

Papers citing "Federated Variational Learning for Anomaly Detection in Multivariate Time Series"

21 / 21 papers shown

Title
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 61 876 0 13 Jun 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng AI4TS 55 348 0 08 Apr 2021
Multivariate Time-series Anomaly Detection via Graph Attention Network Hang Zhao Yujing Wang Juanyong Duan Congrui Huang Defu Cao Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 44 433 0 04 Sep 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 67 380 0 19 Jul 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 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 240 6,252 0 10 Dec 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,333 0 04 Jul 2019
Time-Series Anomaly Detection Service at Microsoft Hansheng Ren Bixiong Xu Yujing Wang Chao Yi Congrui Huang Xiaoyu Kou Tony Xing Mao Yang Jie Tong Qi Zhang AI4TS 53 502 0 10 Jun 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 75 773 0 15 Jan 2019
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai-Man Cheung Gemma Roig Yuval Elovici 37 117 0 23 Aug 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 152 2,568 0 02 Jun 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT T. D. Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni Nadarajah Asokan A. Sadeghi 131 493 0 20 Apr 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding K. Hundman V. Constantinou Christopher Laporte Ian Colwell T. Söderström AI4TS 117 1,248 0 13 Feb 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications Haowen Xu Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu ... Dan Pei Yang Feng Jie Chen Zhaogang Wang Honglin Qiao MLAU 72 815 0 12 Feb 2018
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder Daehyung Park Yuuna Hoshi Charles C. Kemp DRL 73 747 0 02 Nov 2017
Convolutional Gated Recurrent Networks for Video Segmentation Mennatullah Siam Sepehr Valipour Martin Jägersand Nilanjan Ray VOS 60 100 0 16 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 560 7,989 0 13 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 84 1,259 0 07 Jun 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 130 2,591 0 16 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 581 12,704 0 11 Dec 2014