ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.15551
  4. Cited By
Thinking Forward: Memory-Efficient Federated Finetuning of Language
  Models

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

24 May 2024
Kunjal Panchal
Nisarg Parikh
Sunav Choudhary
Lijun Zhang
Yuriy Brun
Hui Guan
ArXivPDFHTML

Papers citing "Thinking Forward: Memory-Efficient Federated Finetuning of Language Models"

4 / 4 papers shown
Title
A Survey on Federated Fine-tuning of Large Language Models
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
Li Li
Chengzhong Xu
FedML
81
0
0
15 Mar 2025
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
Mohamed Aboelenien Ahmed
Kilian Pfeiffer
R. Khalili
Heba Khdr
J. Henkel
FedML
87
0
0
17 Feb 2025
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
139
305
0
21 Mar 2024
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
76
56
0
24 Jan 2022
1