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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 7 | Month- July 2026
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Published Paper Details:
Paper Title
Enhancing Federated Learning with Differential Privacy for Secure and Scalable Machine Learning
Authors
Ankit Kumar Sablaniya
Keywords
Federated Learning, Differential Privacy, Secure Machine Learning, Data Privacy, Privacy-Preserving AI.
Abstract
Federated Learning (FL) has emerged as a transformative paradigm for distributed machine learning while ensuring data privacy [2]. However, the integration of robust privacy-preserving mechanisms remains a key challenge. This paper presents an enhanced FL framework that incorporates Differential Privacy (DP) to strengthen data security while maintaining model accuracy [3]. A novel adaptive noise injection mechanism is proposed to optimize the balance between privacy protection and learning performance. Experimental evaluations on multiple real-world datasets demonstrate the efficacy of the proposed approach, showcasing improved resilience against privacy attacks without significant accuracy degradation [6].
IJCRT's Publication Details
Unique Identification Number - IJCRT2503086
Paper ID - 278034
Page Number(s) - a704-a706
Pubished in - Volume 13 | Issue 3 | March 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ankit Kumar Sablaniya, "Enhancing Federated Learning with Differential Privacy for Secure and Scalable Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 3, pp.a704-a706, March 2025, Available at :http://www.ijcrt.org/papers/IJCRT2503086.pdf
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Volume 14 | Issue 7
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July 2026
Volume 14 | Issue 7
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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