Fahad Sabah

According to our database, Fahad Sabah authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MFTA-PFL : Multi-factor trust assessment-based personalized federated learning.

Fahad Sabah, Yuwen Chen, Zhen Yang, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar

J. Inf. Secur. Appl., 2026

2025

Deep deterministic policy gradients with a self-adaptive reward mechanism for image retrieval.

Farooq Ahmad, Xinfeng Zhang, Zifang Tang, Fahad Sabah, Muhammad Azam, Raheem Sarwar

J. Supercomput., January, 2025

Communication optimization techniques in Personalized Federated Learning: Applications, challenges and future directions.

Fahad Sabah, Yuwen Chen, Zhen Yang, Abdul Raheem, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar

Inf. Fusion, 2025

FairDPFL-SCS: Fair Dynamic Personalized Federated Learning with strategic client selection for improved accuracy and fairness.

Fahad Sabah, Yuwen Chen, Zhen Yang, Abdul Raheem, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar

Inf. Fusion, 2025

Adaptive Dual-Model Federated Learning for Generalizable Brain Tumor Segmentation.

Abdul Raheem, Zhen Yang, Malik Abdul Manan, Shahzad Ahmed, Fahad Sabah

Int. J. Imaging Syst. Technol., 2025

FUSION: Uncertainty-Guided Federated Semi-Supervised Learning for Medical Image Segmentation.

Abdul Raheem, Zhen Yang, Haiyang Yu, Malik Abdul Manan, Fahad Sabah, Shahzad Ahmed

IET Image Process., 2025

Personalized federated learning with fairness, robustness, and collaboration incentives.

Fahad Sabah, Yuwen Chen, Zhen Yang, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar

Appl. Soft Comput., 2025

2024

YOLOv8-TDD: An Optimized YOLOv8 Algorithm for Targeted Defect Detection in Printed Circuit Boards.

Yunpeng Gao, Rui Zhang, Mingxu Yang, Fahad Sabah

J. Electron. Test., October, 2024

IPC-CNN: A Robust Solution for Precise Brain Tumor Segmentation Using Improved Privacy-Preserving Collaborative Convolutional Neural Network.

Abdul Raheem, Zhen Yang, Haiyang Yu, Muhammad Yaqub, Fahad Sabah, Shahzad Ahmed, Malik Abdul Manan, Imran Shabir Chuhan

KSII Trans. Internet Inf. Syst., 2024

Model optimization techniques in personalized federated learning: A survey.

Fahad Sabah, Yuwen Chen, Zhen Yang, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar

Expert Syst. Appl., 2024

AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model.

Raheem Sarwar, Le An Ha, Pin Shen Teh, Fahad Sabah, Raheel Nawaz, Ibrahim A. Hameed, Muhammad Umair Hassan

IEEE Access, 2024

Enhancing Educational Equity: A Native Language Identification Approach for Tailoring Linguistic Support and Inclusive Curricula.

Raheem Sarwar, Pin Shen Teh, Muhammad A. B. Fayyaz, Fahad Sabah, Muhammad Umair Hassan, Syed Mustafa Hassan

Proceedings of the Research and Innovation Forum 2024, 2024

2023

Heart Disease Prediction with 100% Accuracy, Using Machine Learning: Performance Improvement with Features Selection and Sampling.

Fahad Sabah, Yuwen Chen, Zhen Yang, Abdul Raheem, Muhammad Azam, Raheem Sarwar

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Empowering Biomedical Health with Federated Learning: Addressing Privacy and Data Sharing for Enhanced Disease Detection and Diagnosis.

Abdul Raheem, Yang Zhen, Haiyang Yu, Fahad Sabah, Shahzad Ahmed, Muhammad Yaqub

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

2021

A Two-Step Approach for Improving Sentiment Classification Accuracy.

Muhammad Azam, Tanvir Ahmed, Rehan Ahmad, Ateeq Ur Rehman, Fahad Sabah, Rao Muhammad Asif

Intell. Autom. Soft Comput., 2021

2019

Scientific collaboration networks in Pakistan and their impact on institutional research performance.

Fahad Sabah, Saeed-Ul Hassan, Amina Muazzam, Sehrish Iqbal, Saira Hanif Soroya, Raheem Sarwar

Libr. Hi Tech, 2019