Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning-Reference-Cited by-同舟云学术

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Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

Published:2023-10-25 Issue: Volume:78 Page:536-545
ISSN:
Container-title:2023 4th International Conference on Data Analytics for Business and Industry (ICDABI)
language:
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Author:

Hosain Md. Tanzib¹,Zaman Asif¹,Sajid Md. Shahriar²,Khan Shadman Sakeeb³,Akter Shanjida³

Affiliation:

1. American International University-Bangladesh,Department of Computer Science & Engineering,Dhaka,Bangladesh

2. Rajshahi University of Engineering & Technology,Department of Electrical & Computer Engineering,Rajshahi,Bangladesh

3. North South University,Department of Computer Science & Engineering,Dhaka,Bangladesh

Funder

University of Bahrain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629220/10629232/10629638.pdf?arnumber=10629638

Reference46 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Deep Learning with Differential Privacy

3. Practical secure aggregation for federated learning on user-held data;Bonawitz,2016

4. Federated Machine Learning

5. Differential Privacy

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