Hierarchical Federated Learning based Anomaly Detection using Digital
Twins for Smart Healthcare

Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare

24 November 2021

Papers citing "Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare"

17 / 17 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia Vikram Kulothungan Deepti Gupta 46 0 0 01 Apr 2025
End-to-End Verifiable Decentralized Federated Learning Chaehyeon Lee Jonathan Heiss Stefan Tai James Won-Ki Hong 36 2 0 19 Apr 2024
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis Anantaa Kotal Lavanya Elluri Deepti Gupta V. Mandalapu Anupam Joshi 8 5 0 27 Nov 2023
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications Azim Akhtarshenas Mohammad Ali Vahedifar Navid Ayoobi B. Maham Tohid Alizadeh Sina Ebrahimi David López-Pérez FedML 36 5 0 08 Oct 2023
Recent Methodological Advances in Federated Learning for Healthcare Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull ... James H. F. Rudd J. A. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts FedML OOD 41 5 0 04 Oct 2023
An IoT Architecture Leveraging Digital Twins: Compromised Node Detection Scenario Khaled Alanezi Shivakant Mishra 20 5 0 20 Aug 2023
Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things Deepti Gupta Shafika Showkat Moni A. Tosun 18 13 0 25 Jul 2023
DLACB: Deep Learning Based Access Control Using Blockchain Asma Jodeiri Akbarfam Sina Barazandeh Hoda Maleki Deepti Gupta OOD 16 7 0 26 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 40 56 0 03 Mar 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 39 33 0 07 Feb 2023
Secure and Efficient Privacy-preserving Authentication Scheme using Cuckoo Filter in Remote Patient Monitoring Network Shafika Showkat Moni Deepti Gupta 13 5 0 02 Nov 2022
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations Jonathan Heiss Elias Grunewald Nikolas Haimerl Stefan Schulte Stefan Tai FedML 23 29 0 23 Jun 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 32 119 0 18 Mar 2022
Machine Learning based Anomaly Detection for Smart Shirt: A Systematic Review E. C. Nunes 24 2 0 07 Mar 2022
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids Sina Sontowski Nigel Lawrence Deepjyoti Deka Maanak Gupta 18 2 0 06 Jan 2022
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020