2 papers
quant-ph2026
Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets
B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal +2
Privacy-preserving clustering is critical for analyzing sensitive data in healthcare, cybersecurity, and enterprise applications, where maintaining data confidentiality must be bal…
cs.CV2026
Pattern Recognition Tasks with Personalized Federated Learning
Md. Arifur Rahman, Isha Das, Mushfiqur Rahman Abir +4
Personalized Federated Learning (PFL) constitutes a novel paradigm that tailors Machine Learning (ML) models to individual clients, thereby furnishing personalized model updates wh…