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cs.LG2025
Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
Fei Wu, Jia Hu, Geyong Min +1
Driven by the rapid growth of model parameters, parameter-efficient fine-tuning (PEFT) has become essential for adapting large models to diverse downstream tasks under constrained…
cs.DC2025★ 5 cited
Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
Fei Wu, Jia Hu, Geyong Min +1
Pre-trained Language Models (PLMs) have demonstrated their superiority and versatility in modern Natural Language Processing (NLP), effectively adapting to various downstream tasks…