Secure Federated Learning for Intelligent Industry 4.0 IoT Enabled Self Skin Care Application System

Author:

Sharma Sachin1,Bhadula Shuchi1

Affiliation:

1. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Reference15 articles.

1. Federated learning of predictive models from federated Electronic Health Records

2. A privacy-preserving, distribued and cooperative fcm-based learning approach for cancer research;salmeron;Proceedings of the International Joint Conference on Rough Sets,0

3. Patient-reported outcomes: A privacy-centric and federated approach to machine learning;jordan;Proceedings of the International Conference on Machine Learning,0

4. Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach

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1. Deep Learning Enabled Personalized Clinical Decision Making and Prescription Plan Preparation System for Diagnosis of Skin Cancer Patients;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

2. Blockchain-Enabled Federated Learning for Secured Edge Data Communication Through a Decentralized Software-Defined Network;Advances in Logistics, Operations, and Management Science;2024-01-18

3. Federated Learning and Fusion of IoT for Smart Healthcare Applications;Advances in Healthcare Information Systems and Administration;2023-12-01

4. SLA-SCA: Secure and Lightweight Authentication and Key Agreement Mechanism for Smart City Applications;2023 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI);2023-10-18

5. IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

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