22 citations
- Pennsylvania State UniversityUS2 papers
- Hanoi University of Science and TechnologyVN1 paper
- Indiana University South BendUS1 paper
- Johns Hopkins MedicineUS1 paper
- Johns Hopkins UniversityUS1 paper
- Macquarie UniversityAU1 paper
- ShanghaiTech UniversityCN1 paper
- University of Massachusetts Chan Medical SchoolUS1 paper
- Virginia TechUS1 paper
6 papers
FedImp: Enhancing Federated Learning Convergence with Impurity-Based Weighting
Hai Anh Tran, Cuong Ta, Truong X. Tran
Federated Learning (FL) is a collaborative paradigm that enables multiple devices to train a global model while preserving local data privacy. A major challenge in FL is the non-In…
Machine learning-based cloud resource allocation algorithms: a comprehensive comparative review
Deep Bodra, Sushil Khairnar
Cloud resource allocation has emerged as a major challenge in modern computing environments, with organizations struggling to manage complex, dynamic workloads while optimizing per…
ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration
Ziyuan Huang, Vishaldeep Kaur Sekhon, Roozbeh Sadeghian +5
Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome pr…
Catenoid limits of singly periodic minimal surfaces with Scherk-type ends
Hao Chen, Peter Connor, Kevin Li
We construct families of embedded, singly periodic minimal surfaces of any genus in the quotient with any even number of almost parallel Scherk ends. A surface in such a…
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images
Sagar Kora Venu
Pneumonia is caused by viruses, bacteria, or fungi that infect the lungs, which, if not diagnosed, can be fatal and lead to respiratory failure. More than 250,000 individuals in th…
Linear Programming Formulations of Deterministic Infinite Horizon Optimal Control Problems in Discrete Time
Vladimir Gaitsgory, Alex Parkinson, I. Shvartsman
This paper is devoted to a study of infinite horizon optimal control problems with time discounting and time averaging criteria in discrete time. We establish that these problems a…