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DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

3 October 2023
Aochuan Chen
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng-Wei Zhang
B. Kailkhura
Sijia Liu
ArXivPDFHTML

Papers citing "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training"

35 / 35 papers shown
Title
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Amir Ali Farzin
Yuen-Man Pun
Iman Shames
19
0
0
04 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang
Zhouhao Yang
Brian K Chen
Fanyi Pu
Bo-wen Li
Tianyu Gao
Kenji Kawaguchi
34
0
0
03 May 2025
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng
Alireza Doostan
Stephen Becker
34
0
0
30 Apr 2025
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
Mohammad Maheri
Hamed Haddadi
Alex Davidson
63
0
0
27 Apr 2025
Efficient Personalization of Quantized Diffusion Model without Backpropagation
Efficient Personalization of Quantized Diffusion Model without Backpropagation
H. Seo
Wongi Jeong
Kyungryeol Lee
Se Young Chun
DiffM
MQ
73
0
0
19 Mar 2025
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
Liangyu Wang
Jie Ren
Hang Xu
Junxiao Wang
Huanyi Xie
David E. Keyes
Di Wang
58
0
0
16 Mar 2025
SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization
SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization
Shubhankar Borse
K. Bhardwaj
Mohammad Reza Karimi Dastjerdi
Hyojin Park
Shreya Kadambi
...
Prathamesh Mandke
Ankita Nayak
Harris Teague
Munawar Hayat
Fatih Porikli
DiffM
73
1
0
27 Feb 2025
LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM
LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM
Yehonathan Refael
Iftach Arbel
Ofir Lindenbaum
Tom Tirer
64
0
0
26 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
Zhen Zhang
Y. Yang
Kai Zhen
Nathan Susanj
Athanasios Mouchtaris
Siegfried Kunzmann
Zheng Zhang
48
0
0
17 Feb 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao
Xinling Yu
Xian Xiao
Z. Chen
Z. Liu
G. Kurczveil
R. Beausoleil
S. Liu
Z. Zhang
45
0
0
17 Feb 2025
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization
Keisuke Sugiura
Hiroki Matsutani
MQ
36
1
0
08 Jan 2025
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
Jinqi Xiao
S. Sang
Tiancheng Zhi
Jing Liu
Qing Yan
Linjie Luo
Bo Yuan
Bo Yuan
VLM
81
1
0
26 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized
  Back-Propagation-Free Approach
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach
Yequan Zhao
Hai Li
Ian Young
Zheng-Wei Zhang
MQ
24
2
0
07 Nov 2024
Stepping Forward on the Last Mile
Stepping Forward on the Last Mile
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
R. Ramakrishnan
Zhaocong Yuan
Andrew Zou Li
25
0
0
06 Nov 2024
FLOPS: Forward Learning with OPtimal Sampling
FLOPS: Forward Learning with OPtimal Sampling
Tao Ren
Zishi Zhang
Jinyang Jiang
Guanghao Li
Zeliang Zhang
Mingqian Feng
Yijie Peng
30
1
0
08 Oct 2024
On Unsupervised Prompt Learning for Classification with Black-box
  Language Models
On Unsupervised Prompt Learning for Classification with Black-box Language Models
Zhen-Yu Zhang
Jiandong Zhang
Huaxiu Yao
Gang Niu
Masashi Sugiyama
21
2
0
04 Oct 2024
Unifying back-propagation and forward-forward algorithms through model
  predictive control
Unifying back-propagation and forward-forward algorithms through model predictive control
Lianhai Ren
Qianxiao Li
19
1
0
29 Sep 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
Pucheng Dang
Xing Hu
Dong Li
Rui Zhang
Qi Guo
Kaidi Xu
DiffM
31
4
0
18 Aug 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural
  Networks
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
19
0
0
17 Jul 2024
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
Wentao Guo
Jikai Long
Yimeng Zeng
Zirui Liu
Xinyu Yang
...
Osbert Bastani
Christopher De Sa
Xiaodong Yu
Beidi Chen
Zhaozhuo Xu
26
14
0
05 Jun 2024
Double Variance Reduction: A Smoothing Trick for Composite Optimization
  Problems without First-Order Gradient
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient
Hao Di
Haishan Ye
Yueling Zhang
Xiangyu Chang
Guang Dai
Ivor W. Tsang
21
1
0
28 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Haibo Yang
Haibo Yang
FedML
54
3
0
24 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept
  Erasure in Diffusion Models
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
29
51
0
24 May 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
25
2
0
18 Mar 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM
  Fine-Tuning
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Yong Liu
Zirui Zhu
Chaoyu Gong
Minhao Cheng
Cho-Jui Hsieh
Yang You
MoE
27
16
0
24 Feb 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM
  Fine-Tuning: A Benchmark
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang
Pingzhi Li
Junyuan Hong
Jiaxiang Li
Yimeng Zhang
...
Wotao Yin
Mingyi Hong
Zhangyang Wang
Sijia Liu
Tianlong Chen
17
12
0
18 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
19
38
0
17 Feb 2024
Differentially Private Zeroth-Order Methods for Scalable Large Language
  Model Finetuning
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning
Zhicheng Liu
Jian Lou
W. Bao
Y. Hu
Baochun Li
Z. Qin
K. Ren
29
7
0
12 Feb 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still
  Easy To Generate Unsafe Images ... For Now
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang
Jinghan Jia
Xin Chen
Aochuan Chen
Yihua Zhang
Jiancheng Liu
Ke Ding
Sijia Liu
DiffM
17
79
0
18 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang
Bingcong Li
K. K. Thekumparampil
Sewoong Oh
Niao He
25
11
0
14 Oct 2023
Scaling Forward Gradient With Local Losses
Scaling Forward Gradient With Local Losses
Mengye Ren
Simon Kornblith
Renjie Liao
Geoffrey E. Hinton
64
49
0
07 Oct 2022
Optimization without Backpropagation
Optimization without Backpropagation
Gabriel Belouze
14
7
0
13 Sep 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
65
17
0
12 Jul 2021
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Bin Gu
Guodong Liu
Yanfu Zhang
Xiang Geng
Heng-Chiao Huang
31
18
0
17 Feb 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
172
1,018
0
06 Mar 2020
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