AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ziye, Lin, Hongbin, Zhang, Chenyu, Yan, Xiangda, Yang, Yongjie, Shu, Yao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Zeroth-Order Optimization is Secretly Single-Step Policy Optimization
by: Qiu, Junbin, et al.
Published: (2025)
by: Qiu, Junbin, et al.
Published: (2025)
L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
by: Singh, Raul, et al.
Published: (2025)
by: Singh, Raul, et al.
Published: (2025)
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)
by: Park, Juneyoung
Published: (2026)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)
by: Deng, Guanzhi, et al.
Published: (2026)
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs
by: Sun, Yan, et al.
Published: (2025)
by: Sun, Yan, 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)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
by: Zhou, Jiajun, et al.
Published: (2025)
by: Zhou, Jiajun, et al.
Published: (2025)
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)
by: Barazandeh, Babak, et al.
Published: (2025)
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning
by: Ed-dib, Abdessalam, et al.
Published: (2024)
by: Ed-dib, Abdessalam, et al.
Published: (2024)
ZO-ASR: Zeroth-Order Fine-Tuning of Speech Foundation Models without Back-Propagation
by: Peng, Yuezhang, et al.
Published: (2025)
by: Peng, Yuezhang, et al.
Published: (2025)
LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
by: Zhang, Longteng, et al.
Published: (2023)
by: Zhang, Longteng, et al.
Published: (2023)
Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)
by: Zhang, Chengqian, et al.
Published: (2026)
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
by: Zhang, Yilang, et al.
Published: (2025)
by: Zhang, Yilang, et al.
Published: (2025)
Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA
by: Wang, Xiaoyu, et al.
Published: (2026)
by: Wang, Xiaoyu, et al.
Published: (2026)
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
by: Meng, Xiangdi, et al.
Published: (2024)
by: Meng, Xiangdi, et al.
Published: (2024)
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
HRP: High-Rank Preheating for Superior LoRA Initialization
by: Chen, Yuzhu, et al.
Published: (2025)
by: Chen, Yuzhu, et al.
Published: (2025)
LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
by: Zhang, Jia-Chen, et al.
Published: (2024)
by: Zhang, Jia-Chen, et al.
Published: (2024)
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
by: Bian, Jieming, et al.
Published: (2024)
by: Bian, Jieming, et al.
Published: (2024)
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)
by: Chen, Guanduo, et al.
Published: (2025)
Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
by: Seung, Hyunseok, et al.
Published: (2025)
by: Seung, Hyunseok, et al.
Published: (2025)
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
1LoRA: Summation Compression for Very Low-Rank Adaptation
by: Quercia, Alessio, et al.
Published: (2025)
by: Quercia, Alessio, et al.
Published: (2025)
Post-Optimization Adaptive Rank Allocation for LoRA
by: Kumaravelu, Vishnuprasadh, et al.
Published: (2026)
by: Kumaravelu, Vishnuprasadh, et al.
Published: (2026)
QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
by: Liang, Jessica, et al.
Published: (2025)
by: Liang, Jessica, et al.
Published: (2025)
LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
by: Gao, Chenjian, et al.
Published: (2025)
by: Gao, Chenjian, et al.
Published: (2025)
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS
by: Chen, Shuaijun, et al.
Published: (2024)
by: Chen, Shuaijun, et al.
Published: (2024)
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)
by: Tian, Chunlin, et al.
Published: (2024)
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
by: Yao, Dixi
Published: (2024)
by: Yao, Dixi
Published: (2024)
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
by: Wang, Dannong, et al.
Published: (2025)
by: Wang, Dannong, et al.
Published: (2025)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)
by: Azimi, Rambod, et al.
Published: (2024)
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)
by: Liu, Jianmin, et al.
Published: (2025)
AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning
by: Chen, Shuaijun, et al.
Published: (2024)
by: Chen, Shuaijun, et al.
Published: (2024)
Null-LoRA: Low-Rank Adaptation on Null Space
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Similar Items
-
Zeroth-Order Optimization is Secretly Single-Step Policy Optimization
by: Qiu, Junbin, et al.
Published: (2025) -
L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
by: Singh, Raul, et al.
Published: (2025) -
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026) -
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026) -
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs
by: Sun, Yan, et al.
Published: (2025)