Specializations

• Privacy Preserving Machine Learning
• Fairness
• AI Sustainability
• Economics of Computing

Publications and Presentations

• Zahidur Talukder, Mohammad Rana, Keaton Hamm, Mohammad A. Islam, “Empowering Clients: Self-Adaptive Federated Learning for Data Quality Challenges”, IEEE Edge 2025
• Zahidur Talukder, Bingqian Lu, Shaolei Ren, Mohammad A. Islam, “Fair Federated Learning with Heterogeneous Devices”, ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM TOMPECS), 2024.
• Pranjol Gupta, Zahidur Talukder, Tasnim Abir, Phuc Nguyen, Mohammad A. Islam, “Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI”, ACM SenSys 2023
• Zahidur Talukder, Mohammad A. Islam, “FedSRC: Efficient Federated Learning with Self-Regulating Clients”, ACM SIGMETRICS 2022
• Zahidur Talukder, Mohammad A. Islam, “Computationally Efficient Auto-Weighted Aggregation for Heterogeneous Federated Learning”, IEEE EDGE 2022