TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Yan, Huang, Tiansheng, Ding, Liang, Shen, Li, Tao, Dacheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing
by: Wang, Liangyu, et al.
Published: (2025)
by: Wang, Liangyu, et al.
Published: (2025)
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
by: Cai, Zhijie, et al.
Published: (2026)
by: Cai, Zhijie, et al.
Published: (2026)
AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
by: Chen, Ziye, et al.
Published: (2026)
by: Chen, Ziye, et al.
Published: (2026)
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
by: Zhou, Jiajun, et al.
Published: (2025)
by: Zhou, Jiajun, et al.
Published: (2025)
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)
by: Wang, Fei, et al.
Published: (2026)
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)
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)
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
by: Zhang, Kairun, et al.
Published: (2025)
by: Zhang, Kairun, et al.
Published: (2025)
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization
by: Sugiura, Keisuke, et al.
Published: (2025)
by: Sugiura, Keisuke, et al.
Published: (2025)
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)
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
by: Wang, Liangyu, et al.
Published: (2025)
by: Wang, Liangyu, et al.
Published: (2025)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
by: Mi, Zhendong, et al.
Published: (2025)
by: Mi, Zhendong, et al.
Published: (2025)
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
by: Yu, Ziming, et al.
Published: (2024)
by: Yu, Ziming, et al.
Published: (2024)
LLM Zeroth-Order Fine-Tuning is an Inference Workload
by: Li, Zelin, et al.
Published: (2026)
by: Li, Zelin, et al.
Published: (2026)
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
by: Zhao, Yanjun, et al.
Published: (2024)
by: Zhao, Yanjun, et al.
Published: (2024)
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
by: Guo, Wentao, et al.
Published: (2024)
by: Guo, Wentao, et al.
Published: (2024)
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
by: Chen, Yiming, et al.
Published: (2024)
by: Chen, Yiming, et al.
Published: (2024)
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
by: Huang, Tiansheng, et al.
Published: (2024)
by: Huang, Tiansheng, et al.
Published: (2024)
ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation
by: Meng, Chuiyang, et al.
Published: (2026)
by: Meng, Chuiyang, et al.
Published: (2026)
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
by: Shang, Sifeng, et al.
Published: (2025)
by: Shang, Sifeng, et al.
Published: (2025)
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
by: Sengupta, Ayan, et al.
Published: (2024)
by: Sengupta, Ayan, et al.
Published: (2024)
Zeroth-Order Optimization is Secretly Single-Step Policy Optimization
by: Qiu, Junbin, et al.
Published: (2025)
by: Qiu, Junbin, et al.
Published: (2025)
Robust and Efficient Zeroth-Order LLM Fine-Tuning via Adaptive Bayesian Subspace Optimizer
by: Feng, Jian, et al.
Published: (2026)
by: Feng, Jian, et al.
Published: (2026)
On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
by: Katti, Prabodh, et al.
Published: (2025)
by: Katti, Prabodh, et al.
Published: (2025)
Zeroth-Order Optimization at the Edge of Stability
by: Song, Minhak, et al.
Published: (2026)
by: Song, Minhak, et al.
Published: (2026)
On Adaptivity in Zeroth-Order Optimization
by: Dbouk, Hassan, et al.
Published: (2026)
by: Dbouk, Hassan, et al.
Published: (2026)
ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm
by: Xie, Lunchen, et al.
Published: (2025)
by: Xie, Lunchen, et al.
Published: (2025)
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
by: Li, Zhe, et al.
Published: (2024)
by: Li, Zhe, et al.
Published: (2024)
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization
by: Zhao, Huaqin, et al.
Published: (2024)
by: Zhao, Huaqin, et al.
Published: (2024)
Aggregating Low Rank Adapters in Federated Fine-tuning
by: Trautmann, Evelyn, et al.
Published: (2025)
by: Trautmann, Evelyn, et al.
Published: (2025)
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
by: Huang, Tiansheng, et al.
Published: (2024)
by: Huang, Tiansheng, et al.
Published: (2024)
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
by: Tang, Zhiwei, et al.
Published: (2023)
by: Tang, Zhiwei, et al.
Published: (2023)
Private Zeroth-Order Optimization with Public Data
by: Gong, Xuchen, et al.
Published: (2025)
by: Gong, Xuchen, et al.
Published: (2025)
The Multi-Query Paradox in Zeroth-Order Optimization
by: Lin, Wei, et al.
Published: (2025)
by: Lin, Wei, et al.
Published: (2025)
Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
by: Sun, Yan, et al.
Published: (2024)
by: Sun, Yan, et al.
Published: (2024)
Similar Items
-
DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing
by: Wang, Liangyu, et al.
Published: (2025) -
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
by: Cai, Zhijie, et al.
Published: (2026) -
AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
by: Chen, Ziye, et al.
Published: (2026) -
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
by: Zhou, Jiajun, et al.
Published: (2025) -
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)