A Secure and Efficient Federated Learning Framework for NLP

A Secure and Efficient Federated Learning Framework for NLP

28 January 2022

Ji Li

Sanguthevar Rajasekaran

Caiwen Ding

Papers citing "A Secure and Efficient Federated Learning Framework for NLP"

9 / 9 papers shown

Title
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 76 4 0 23 Jul 2024
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification Yiping Song Juhua Zhang Zhiliang Tian Yuxin Yang Minlie Huang Dongsheng Li 39 10 0 26 Feb 2024
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients Victoria Huang S. Sohail Michael Mayo T. Lorido-Botran Mark Rodrigues Chris Anderson Melanie Ooi FedML 18 2 0 16 May 2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Rong Pan Jianzong Wang Lingwei Kong Zhangcheng Huang Jing Xiao FedML 30 2 0 23 Apr 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 35 34 0 19 Feb 2023
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 8 12 0 12 Dec 2022
On the Multidimensional Random Subset Sum Problem L. Becchetti Arthur Carvalho Walraven da Cuhna A. Clementi Francesco d’Amore Hicham Lesfari Emanuele Natale Luca Trevisan 35 3 0 28 Jul 2022
FedAdapter: Efficient Federated Learning for Modern NLP Dongqi Cai Yaozong Wu Shangguang Wang F. Lin Mengwei Xu FedML AI4CE 33 21 0 20 May 2022
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Bo-wen Li Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 29 103 0 23 Dec 2021