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FedTADBench: Federated Time-Series Anomaly Detection Benchmark

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

19 December 2022
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
    OOD
    FedML
    AI4TS
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Papers citing "FedTADBench: Federated Time-Series Anomaly Detection Benchmark"

6 / 6 papers shown
Title
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Keigo Nogami
Tamura Hiroto
Gouhei Tanaka
FedML
136
0
0
17 Feb 2025
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time
  Series
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg
Wenyu Zhang
Jules Samaran
R. Savitha
Chuan-Sheng Foo
AI4TS
67
224
0
23 Sep 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
41
860
0
13 Jun 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential
  Variational Auto-Encoder
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li
Junchi Yan
Haiyang Wang
Yaohui Jin
BDL
AI4TS
54
139
0
02 Feb 2021
Deep Anomaly Detection for Time-series Data in Industrial IoT: A
  Communication-Efficient On-device Federated Learning Approach
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
51
378
0
19 Jul 2020
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
47
2,297
0
13 Feb 2019
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