Federated Learning Strategies for Privacy-Preserving Machine Learning Models in Cloud Computing Environments-Reference-Cited by-同舟云学术

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Federated Learning Strategies for Privacy-Preserving Machine Learning Models in Cloud Computing Environments

Published:2024-05-09 Issue: Volume:11 Page:1457-1462
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
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Author:

Tiwari Shashank Shekhar¹,Dhasmana Gulshan²,Al-Jawahry Hassan M.³,Rana Aditya,Bhardwaj Garima⁴,Srivastava Arun Pratap⁵

Affiliation:

1. REC,Department of Information Technology,Ambedkar Nagar,U.P

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun

3. College of Technical Engineering, The Islamic University,Department of Computers Techniques Engineering,Najaf,Iraq

4. Amity Business School, Amity University,Greater Noida

5. Lloyd Institute of Engineering & Technology,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593458.pdf?arnumber=10593458

Reference36 articles.

1. A collaborative privacy-preserving approach for passenger demand forecasting of autonomous taxis empowered by federated learning in smart cities

2. Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies

3. Towards Efficient Resource Allocation for Federated Learning in Virtualized Managed Environments

4. Privacy-preserving federated learning for scalable and high data quality computational-intelligence-as-a-service in Society 5.0

5. Edge-centric energy efficient LSTM with federated learning model based computation offloading for IoT applications

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