:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	González-Martínez, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.25136
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Memory-Efficient Fine-Tuning via Low-Rank Activation Compression
by: Shi, Jiang-Xin, et al.
Published: (2025)

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
by: Zhang, Longteng, et al.
Published: (2026)

Decentralized Low-Rank Fine-Tuning of Large Language Models
by: Ghiasvand, Sajjad, et al.
Published: (2025)

LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
by: Zhao, Lanxin, et al.
Published: (2026)

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption
by: Zhou, Yajie, et al.
Published: (2025)

Probe-Free Low-Rank Activation Intervention
by: Jiang, Chonghe, et al.
Published: (2025)

Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models
by: Ghiasvand, Sajjad, et al.
Published: (2025)

LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
by: Abdi, Hossein, et al.
Published: (2024)

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
by: Lin, Cheng, et al.
Published: (2024)

Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
by: Seung, Hyunseok, et al.
Published: (2025)

Budgeted Online Model Selection and Fine-Tuning via Federated Learning
by: Ghari, Pouya M., et al.
Published: (2024)

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
by: Sun, Mengyang, et al.
Published: (2025)

Smooth Model Compression without Fine-Tuning
by: Runkel, Christina, et al.
Published: (2025)

Sparse Gradient Compression for Fine-Tuning Large Language Models
by: Yang, David H., et al.
Published: (2025)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
by: Wang, Yizheng, et al.
Published: (2025)

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
by: Zhang, Yilang, et al.
Published: (2025)

Lossless Model Compression via Joint Low-Rank Factorization Optimization
by: Zhang, Boyang, et al.
Published: (2024)

ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
by: Zhang, Yilang, et al.
Published: (2025)

On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning
by: Ahmad, Muhammad, et al.
Published: (2026)

Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
by: Raje, Arian, et al.
Published: (2025)

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions
by: Zhang, Wenhao, et al.
Published: (2026)

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM
by: Solgi, Ryan, et al.
Published: (2025)

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters
by: Xiang, Haotian, et al.
Published: (2026)

Large Language Model Compression via the Nested Activation-Aware Decomposition
by: Lu, Jun, et al.
Published: (2025)

Joint Localization and Activation Editing for Low-Resource Fine-Tuning
by: Lai, Wen, et al.
Published: (2025)

LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2025)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

OjaKV: Context-Aware Online Low-Rank KV Cache Compression
by: Zhu, Yuxuan, et al.
Published: (2025)

Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
by: Xue, Yongfu
Published: (2025)

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
by: Tastan, Nurbek, et al.
Published: (2025)

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
by: Wang, Chenxu, et al.
Published: (2025)

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
by: Liang, Jessica, et al.
Published: (2025)

Low-Rank Compression of Language Models via Differentiable Rank Selection
by: Sundrani, Sidhant, et al.
Published: (2025)

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
by: Wang, Ziyao, et al.
Published: (2024)

DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
by: Fujisawa, Yoshihiko, et al.
Published: (2026)

Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy
by: Azizi, Seyedarmin, et al.
Published: (2024)

Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
by: Gupta, Rishaank
Published: (2026)

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)