3 papers
cs.IR2025
Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval
Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard +2
Dual-encoder retrievers depend on the principle that relevant documents should score higher than irrelevant ones for a given query. Yet the dominant Noise Contrastive Estimation (N…
cs.CR2025
Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
Erfan Hosseini, Shuangyi Chen, Ashish Khisti
A key operation in federated learning is the aggregation of gradient vectors generated by individual client nodes. We develop a method based on multiparty homomorphic encryption (M…
quant-ph2024
Entangled Photon Generation through Cooper Pair Recombination in a Noncentrosymmetric Quantum Well
Mehdi Biderang, Erfan Hosseini, Alireza Akbari
We explore theoretically the generation of entangled two-photon pairs by Cooper pair recombination in a noncentrosymmetric [001]-quantum well superconductor, driven by a forward-bi…