1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning
Fatema Siddika, Md Anwar Hossen, Tanwi Mallick +1
Continual learning in Large Language Models (LLMs) is hindered by the plasticity-stability dilemma, where acquiring new capabilities often leads to catastrophic forgetting of previ…
CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
Md Anwar Hossen, Fatema Siddika, Juan Pablo Munoz +2
Large language models (LLMs) can learn new tasks through fine-tuning, but learning tasks sequentially often leads to catastrophic forgetting of earlier ones. This paper proposes CR…
SCOPE: Scalable Training-Free Semantic Coreset Selection for Long-Tailed Federated Learning
Md Anwar Hossen, Nathan R. Tallent, Luanzheng Guo +1
Scientific discovery increasingly relies on federated learning over data from high-resolution instruments, and these data are strongly non-IID and long-tailed. Coreset selection co…
Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning
Fatema Siddika, Md Anwar Hossen, Tanwi Mallick +1
Continual learning in Large Language Models (LLMs) is hindered by the plasticity-stability dilemma, where acquiring new capabilities often leads to catastrophic forgetting of previ…