Scholar
Ahmad Faraz Khan
Google Scholar ID: VjGylKsAAAAJ
Virginia Tech
Citations & Impact
Citations
142
H-index
7
i10-index
7
Publications
18
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'FLStore: A Cache for Non-Training Workloads in Federated Learning' accepted at MLSys 2025; 'IP-FL: Incentive-driven Personalization in Federated Learning' accepted at IPDPS 2025; 'DynamicFL: Federated Learning with Dynamic Communication Resource Allocation' selected as Best Paper at IEEE BigData 2024; 4 new papers on Federated Learning and LLM Sycophancy published in BigData’24. Awards: Recipient of the Pratt Fellowship for Outstanding Graduate Research at Virginia Tech.
Research Experience
- Currently a Software Engineering Intern PhD at Google, Mountain View, working on foundation models for video applications under the mentorship of Dr. Shan Li. Recently completed a Research Internship at IBM Research, Almaden, where he worked on continual learning and targeted data generation for foundational models, contributing to IBM's Granite 4.0 model and submitting two patents.
Education
- M.S. in Computer Science from Virginia Tech; B.S. in Computer Science from LUMS University, advisors: Dr. Ihsan Ayyub Qazi and Dr. Zafar Ayyub Qazi.
Background
- Research Interests: Machine Learning Systems and Federated Learning. Field: Computer Science. Bio: Fifth-year Ph.D. candidate in Computer Science at Virginia Tech, working with Dr. Ali R. Butt in the DSSL lab.
