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Sreemoyee Biswas
Institutions:
Indian Institute of Information Technology, Pune,
Ramaiah Institute of Technology,
Indian Institute of Information Technology Bhopal,
Maulana Azad National Institute of Technology
Observed institutions:
Indian Institute of Information Technology, Pune,
Ramaiah Institute of Technology,
Indian Institute of Information Technology Bhopal,
Maulana Azad National Institute of Technology
ORCID:
0000-0002-7097-8018
Observed ORCID:
0000-0002-7097-8018
OpenAlex ID:
A5078315531
A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation
2025
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Journal Of Big Data
·
32
PDF
Decentralized big data mining: federated learning for clustering youth tobacco use in India
2024
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Journal Of Big Data
·
23
PDF
Machine learning concepts for correlated Big Data privacy
2021
·
Sreemoyee Biswas
, Nilay Khare
, et al.
·
Journal Of Big Data
·
21
PDF
Enhancing correlated big data privacy using differential privacy and machine learning
2023
·
Sreemoyee Biswas
, Anuja Fole
, et al.
·
Journal Of Big Data
·
16
PDF
Navigating the fusion of federated learning and big data: a systematic review for the AI landscape
2025
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Cluster Computing
·
14
Federated adaptive aggregation: improving privacy and scalability in healthcare AI
2025
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Cluster Computing
·
5
Attacks and Threats on RSA
2018
·
Sreemoyee Biswas
, Namita Tiwari
·
Advances in intelligent systems and computing
·
4
LDCML: A Novel AI-Driven Approach form Privacy-Preserving Anonymization of Quasi-Identifiers
2024
·
Sreemoyee Biswas
, Vrashti Nagar Vrashti Nagar
, et al.
·
Data & Metadata
·
2
PDF
Privacy-preserving federated analytics for digital marketing using adaptive weighted aggregation
2026
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Cluster Computing
·
1
Enhancing Privacy Through Cluster-Based Anonymization of Quasi Identifiers in Correlated Datasets
2025
·
Sreemoyee Biswas
, Kaushiki Tripathi
, et al.
·
Iranian Journal of Science and Technology Transactions of Electrical Engineering
·
1
Optimizing K-Means Clustering with Privacy Budget Allocation Based on Variance and Sensitivity
2025
·
Afzal Ali
, Sreemoyee Biswas
, et al.
·
Research Square
·
1
PDF
Tackling Privacy Concerns in Correlated Big Data: A Comprehensive Review with Machine Learning Insights
2024
·
Kaushiki Tripathi
, Sreemoyee Biswas
, et al.
·
IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
·
1
Flip-med: federated learning for innovative precision medicine - enhancing data privacy and predictive performance
2026
·
Rahul Haripriya
, Nilay Khare
, et al.
·
Knowledge and Information Systems
Sulfur quantum dots for fluorescence sensing and beyond: Advances in synthesis and multifunctional applications
2026
·
K. Samrat
, Swarnavo Sen
, et al.
·
Next Materials
A Survey on Privacy-Preserving Clustering Techniques: From K-Anonymity to Federated Learning
2026
·
Sachidanand
, Sreemoyee Biswas
, et al.
·
IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
Advanced Privacy Mechanisms: From K-Anonymity to Differential Privacy in Real-World Applications
2026
·
Afzal Ali
, Sreemoyee Biswas
, et al.
·
Lecture notes in networks and systems
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Works count:
16
Citation count:
110
H-index:
5
I10-index:
5
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