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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

19 July 2020
Yi Liu
S. Garg
Jiangtian Nie
Yan Zhang
Zehui Xiong
Jiawen Kang
M. S. Hossain
    FedML
ArXivPDFHTML

Papers citing "Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach"

19 / 19 papers shown
Title
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
Yi Liu
Cong Wang
Xingliang Yuan
42
1
0
20 Feb 2025
Deep Learning-based Anomaly Detection and Log Analysis for Computer
  Networks
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Shuzhan Wang
Ruxue Jiang
Zhaoqi Wang
Yan Zhou
35
27
0
08 Jul 2024
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly
  Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
L. Liu
Youwei Ding
Wanyi Lu
32
0
0
23 Aug 2023
Safe Routing Approach by Identifying and Subsequently Eliminating the
  Attacks in MANET
Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET
Udhaya Sankar S M
Dhinakaran D
Cathrin Deboral C
R. M
AAML
23
31
0
21 Apr 2023
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OOD
FedML
AI4TS
29
8
0
19 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
36
41
0
28 Nov 2022
GowFed -- A novel Federated Network Intrusion Detection System
GowFed -- A novel Federated Network Intrusion Detection System
Aitor Belenguer
J. A. Pascual
J. Navaridas
FedML
32
6
0
28 Oct 2022
Cerberus: Exploring Federated Prediction of Security Events
Cerberus: Exploring Federated Prediction of Security Events
Mohammad Naseri
Yufei Han
Enrico Mariconti
Yun Shen
Gianluca Stringhini
Emiliano De Cristofaro
FedML
45
14
0
07 Sep 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin
Domenico Siracusa
FedML
27
61
0
13 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
20
15
0
26 Apr 2022
Adversarial Analysis of the Differentially-Private Federated Learning in
  Cyber-Physical Critical Infrastructures
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
Md Tamjid Hossain
S. Badsha
Hung M. La
Haoting Shen
Shafkat Islam
Ibrahim Khalil
X. Yi
AAML
19
3
0
06 Apr 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault
  Diagnosis of PV Stations
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu
Bo-Jun Yang
Zhaojian Wang
Dafeng Zhu
Xinyi Wang
Kai Ma
Xinping Guan
31
38
0
28 Feb 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for
  Data Management of IIoT
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
Peiying Zhang
Chao Wang
Chunxiao Jiang
Zhu Han
FedML
7
145
0
03 Feb 2022
An Interpretable Federated Learning-based Network Intrusion Detection
  Framework
An Interpretable Federated Learning-based Network Intrusion Detection Framework
Tian Dong
Song Li
Han Qiu
Jialiang Lu
FedML
14
16
0
10 Jan 2022
Federated Variational Learning for Anomaly Detection in Multivariate
  Time Series
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Kai Zhang
Yushan Jiang
Lee M. Seversky
Chengtao Xu
Dahai Liu
H. Song
AI4TS
12
26
0
18 Aug 2021
Federated Learning for Internet of Things: A Federated Learning
  Framework for On-device Anomaly Data Detection
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Tuo Zhang
Chaoyang He
Tian-Shya Ma
Lei Gao
Mark Ma
Salman Avestimehr
FedML
16
112
0
15 Jun 2021
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
71
80
0
26 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
17
44
0
21 Apr 2021
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
174
760
0
28 Sep 2019
1