Ahmad Khan

Orcid: 0009-0009-3867-5656

Affiliations:
  • Virginia Tech, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA


According to our database1, Ahmad Khan authored at least 18 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering.
CoRR, July, 2025

OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning.
CoRR, April, 2025

How Accurately Do Large Language Models Understand Code?
CoRR, April, 2025

FLStore: Efficient Federated Learning Storage for non-training workloads.
CoRR, March, 2025

LADs: Leveraging LLMs for AI-Driven DevOps.
CoRR, February, 2025

IP-FL: Incentive-Driven Personalization in Federated Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024
FLOAT: Federated Learning Optimizations with Automated Tuning.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

ICL: An Incentivized Collaborative Learning Framework.
Proceedings of the IEEE International Conference on Big Data, 2024

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.
Proceedings of the IEEE International Conference on Big Data, 2024

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization.
Proceedings of the IEEE International Conference on Big Data, 2024

Personalized Federated Learning Techniques: Empirical Analysis.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
A Framework for Incentivized Collaborative Learning.
CoRR, 2023

PI-FL: Personalized and Incentivized Federated Learning.
CoRR, 2023

A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning.
IEEE Access, 2023

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems.
CoRR, 2022

Heterogeneity-Aware Adaptive Federated Learning Scheduling.
Proceedings of the IEEE International Conference on Big Data, 2022

TIFF: Tokenized Incentive for Federated Learning.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022


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