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cs.LG2026
Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns
Afshin Khadangi
Large language models deployed in the wild must adapt to evolving data, user behavior, and task mixtures without erasing previously acquired capabilities. In practice, this remains…
cs.LG2025
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
Afshin Khadangi, Amir Sartipi, Igor Tchappi +2
The tension between data privacy and model utility has become the defining bottleneck for the practical deployment of large language models (LLMs) trained on sensitive corpora incl…
cs.LG2023
We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond
Afshin Khadangi
In the rapidly advancing field of deep learning, optimising deep neural networks is paramount. This paper introduces a novel method, Enhanced Velocity Estimation (EVE), which innov…