most citedScalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

7 citations · 7 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Toward AI-Assisted Poultry Coccidiosis Diagnosis: Evaluating Gemini and BiomedParse on Eimeria Microscopy Images

Ali Alsalama, Ahmed Kubba, Manar Abu Talib

Coccidiosis caused by Eimeria parasites is a major economic burden in poultry production, and effective control depends on accurate species-level diagnosis. This study evaluates wh…

cs.CV2026

A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset

Ahmed Kubba, Ali Alsalama, Abdelrahman Abdalla +2

Face recognition is widely deployed in surveillance, access control, and forensic workflows, yet accuracy degrades sharply once the face is occluded by accessories, foreground obje…

cs.CV2026

Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM

Ahmed Ammar Kubba, Manar Abu Talib, Iman Ibrahim +1

The analysis and classification of cultural heritage architectural styles remain challenging due to the complexity of visual images of buildings, which are highly relied on in trad…

cs.AI2026

Semi-Supervised Learning-Based Genetic Biomarkers Dataset for Multiple-Stage Hepatocellular Carcinoma Prediction

Ahmed Ammar Kubba, Manar Abu Talib, Jibran Sualeh Muhammad +4

Liver cancer is a complex disease responsible for a high number of deaths across the globe each year, making automated solutions for liver cancer classification urgent. The most co…

cs.DC2026★ 7 cited

Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

Bassel Soudan, Sohail Abbas, Ahmed Kubba +2

This paper presents a systematic examination and experimental comparison of the prominent Federated Learning (FL) frameworks FedML, Flower, Substra, and OpenFL. The frameworks are…

cs.AI2026

Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer

Ali Bou Nassif, Darko Castven, Manar Abu Talib +4

This study explores the use of deep learning and explainable artificial intelligence to diagnose hepatocellular carcinoma (HCC) and define effective biomarkers across five differen…