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Profit: Benchmarking Personalization and Robustness Trade-off in
  Federated Prompt Tuning

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning

6 October 2023
Liam Collins
Shanshan Wu
Sewoong Oh
K. Sim
    FedML
ArXivPDFHTML

Papers citing "Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning"

13 / 13 papers shown
Title
Private Federated Learning using Preference-Optimized Synthetic Data
Private Federated Learning using Preference-Optimized Synthetic Data
Charlie Hou
Mei-Yu Wang
Yige Zhu
Daniel Lazar
Giulia Fanti
FedML
Presented at ResearchTrend Connect | FedML on 07 May 2025
59
0
0
23 Apr 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao
X. Gao
Yabo Xu
Chengzhong Xu
FedML
VLM
42
0
0
28 Mar 2025
Federated Learning in Practice: Reflections and Projections
Federated Learning in Practice: Reflections and Projections
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
53
5
0
11 Oct 2024
Federated Large Language Models: Current Progress and Future Directions
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
Lina Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
63
8
0
24 Sep 2024
Leveraging Unstructured Text Data for Federated Instruction Tuning of
  Large Language Models
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
Rui Ye
Rui Ge
Yuchi Fengting
Jingyi Chai
Yanfeng Wang
Siheng Chen
FedML
40
1
0
11 Sep 2024
PrE-Text: Training Language Models on Private Federated Data in the Age
  of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou
Akshat Shrivastava
Hongyuan Zhan
Rylan Conway
Trang Le
Adithya Sagar
Giulia Fanti
Daniel Lazar
36
8
0
05 Jun 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models
  Using Synthetic Data
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
Haoran Li
Xinyuan Zhao
Dadi Guo
Hanlin Gu
Ziqian Zeng
Yuxing Han
Yangqiu Song
Lixin Fan
Qiang Yang
23
1
0
23 May 2024
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on
  Transformers, but Sign Descent Might Be
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be
Frederik Kunstner
Jacques Chen
J. Lavington
Mark W. Schmidt
40
67
0
27 Apr 2023
Test-Time Robust Personalization for Federated Learning
Test-Time Robust Personalization for Federated Learning
Liang Jiang
Tao R. Lin
FedML
OOD
TTA
82
43
0
22 May 2022
A Field Guide to Federated Optimization
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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
841
0
01 Mar 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
60
0
30 Mar 2020
1