Towards Practical Few-shot Federated NLP

Towards Practical Few-shot Federated NLP

1 December 2022

Shangguang Wang

Mengwei Xu

Papers citing "Towards Practical Few-shot Federated NLP"

8 / 8 papers shown

Title
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 78 0 0 15 Mar 2025
FwdLLM: Efficient FedLLM using Forward Gradient Mengwei Xu Dongqi Cai Yaozong Wu Xiang Li Shangguang Wang FedML 47 24 0 26 Aug 2023
Low-Parameter Federated Learning with Large Language Models Jing Jiang Xiangyang Liu Chenyou Fan 11 24 0 26 Jul 2023
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 6 12 0 12 Dec 2022
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 82 936 0 03 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 74 108 0 04 Jan 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 151 98 0 28 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,382 0 21 Jan 2020