VFedMH: Vertical Federated Learning for Training Multi-party Heterogeneous Models

S Wang, K Gai, J Yu, L Zhu - arXiv preprint arXiv:2310.13367, 2023 - arxiv.org
Vertical Federated Learning (VFL) has gained increasing attention as a novel training
paradigm that integrates sample alignment and feature union. However, existing VFL …

[PDF][PDF] ECBFMBP: Design of an Ensemble deep learning Classifier with Bio-inspired Feature Selection for high-efficiency Multidomain Bug Prediction.

D Tambe, L Ragha - Journal of Cognitive Science, 2023 - jcs.snu.ac.kr
Prediction of software bugs from process logs, temporal access logs, behavior analysis, etc.
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …

Using data analytics techniques in software quality assurance

MAR Hafiz - 2023 - lutpub.lut.fi
Software quality assurance is a set of activities that ensures the quality of the software from
different aspects. This process continues in parallel with the development of the software to …