TIFF: Tokenized Incentive for Federated Learning. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (CLOUD, 2022)

Heterogeneity-Aware Adaptive Federated Learning Scheduling. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (IEEE Big Data, 2022)

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. - Ahmad Khan 001; Yuze Li; Ali Anwar 001; Yue Cheng 001; Thang Hoang; Nathalie Baracaldo; Ali Raza Butt (CoRR, 2022)

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. - Ahmad Faraz Khan 001; Yuze Li; Xinran Wang; Sabaat Haroon; Haider Ali; Yue Cheng 001; Ali Raza Butt; Ali Anwar 001 (IEEE Big Data, 2023)

A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning. - Haider Ali; Dian Chen 007; Matthew Harrington; Nathaniel Salazar; Mohannad Al Ameedi; Ahmad Faraz Khan 001; Ali Raza Butt; Jin-Hee Cho (IEEE Access, 2023)

PI-FL: Personalized and Incentivized Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Azal Ahmad Khan; Haider Ali; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (CoRR, 2023)

A Framework for Incentivized Collaborative Learning. - Xinran Wang; Qi Le; Ahmad Faraz Khan 001; Jie Ding 002; Ali Anwar 001 (CoRR, 2023)

Personalized Federated Learning Techniques: Empirical Analysis. - Azal Ahmad Khan; Ahmad Faraz Khan 001; Haider Ali; Ali Anwar 001 (IEEE Big Data, 2024)

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. - Azal Ahmad Khan; Sayan Alam; Xinran Wang; Ahmad Faraz Khan 001; Debanga Raj Neog; Ali Anwar 001 (IEEE Big Data, 2024)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. - Qi Le; Enmao Diao; Xinran Wang; Ahmad Faraz Khan 001; Vahid Tarokh; Jie Ding 002; Ali Anwar 001 (IEEE Big Data, 2024)

ICL: An Incentivized Collaborative Learning Framework. - Xinran Wang; Qi Le; Ahmad Faraz Khan 001; Jie Ding 002; Ali Anwar 001 (IEEE Big Data, 2024)

FLOAT: Federated Learning Optimizations with Automated Tuning. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Ahmed M. Abdelmoniem; Samuel Fountain; Ali Raza Butt; Ali Anwar 001 (EuroSys, 2024)

IP-FL: Incentive-Driven Personalization in Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Zain ul Abdeen; Azal Ahmad Khan; Haider Ali; Ming Jin 002; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (IPDPS, 2025)

LADs: Leveraging LLMs for AI-Driven DevOps. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Anas Mohamed; Haider Ali; Suchithra Moolinti; Sabaat Haroon; Usman Tahir; Mattia Fazzini; Ali Raza Butt; Ali Anwar 001 (CoRR, 2025)

FLStore: Efficient Federated Learning Storage for non-training workloads. - Ahmad Faraz Khan 001; Samuel Fountain; Ahmed M. Abdelmoniem; Ali Raza Butt; Ali Anwar 001 (CoRR, 2025)

How Accurately Do Large Language Models Understand Code? - Sabaat Haroon; Ahmad Faraz Khan 001; Ahmad Humayun; Waris Gill; Abdul Haddi Amjad; Ali R. Butt; Mohammad Taha Khan; Muhammad Ali Gulzar (CoRR, 2025)

OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning. - Sindhuja Madabushi; Ahmad Faraz Khan 001; Haider Ali; Jin-Hee Cho (CoRR, 2025)

Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering. - Anas Mohamed; Azal Ahmad Khan; Xinran Wang; Ahmad Faraz Khan 001; Shuwen Ge; Saman Bahzad Khan; Ayaan Ahmad; Ali Anwar 001 (CoRR, 2025)