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2308.04077
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Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients
8 August 2023
Yao Shu
Xiaoqiang Lin
Zhongxiang Dai
Bryan Kian Hsiang Low
FedML
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Papers citing
"Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients"
7 / 7 papers shown
Title
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
Chenlin Wu
Xiaoyu He
Zike Li
Zibin Zheng
Zibin Zheng
FedML
24
0
0
24 Sep 2024
Localized Zeroth-Order Prompt Optimization
Wenyang Hu
Yao Shu
Zongmin Yu
Zhaoxuan Wu
Xiangqiang Lin
Zhongxiang Dai
See-Kiong Ng
Bryan Kian Hsiang Low
35
6
0
05 Mar 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
Yao Shu
Jiongfeng Fang
Y. He
Fei Richard Yu
19
0
0
18 Feb 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
34
32
0
11 Dec 2023
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
78
56
0
24 Jan 2022
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
Chen Huang
Shuangfei Zhai
Pengsheng Guo
J. Susskind
44
11
0
21 Apr 2021
1