TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning

7 August 2023

Papers citing "TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning"

5 / 5 papers shown

Title
Fedstellar: A Platform for Decentralized Federated Learning Enrique Tomás Martínez Beltrán Á. Gómez Chao Feng Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 34 46 0 16 Jun 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 69 251 0 15 Nov 2022
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach G. Bertoli Lourencco Alves Pereira Junior A. Santos O. Saotome FedML 54 58 0 01 Sep 2022
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 69 381 0 19 Jul 2020
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,593 0 17 Feb 2016