Privacy enabled Financial Text Classification using Differential Privacy
and Federated Learning

Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning

4 October 2021

Tiasa Singha Roy

Rakshit Naidu

Zumrut Muftuoglu

Papers citing "Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning"

12 / 12 papers shown

Title
Differentially Private Iterative Screening Rules for Linear Regression Amol Khanna Fred Lu Edward Raff 55 0 0 25 Feb 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 73 0 0 21 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 37 1 0 20 Jan 2025
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Z. Wen Wanglei Feng Di Wu Haozhen Hu Chang Xu Bin Qian Zhen Hong Cong Wang S. Ji FedML 71 0 0 18 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons Binbin Ding Penghui Yang Zeqing Ge Shengjun Huang AAML FedML 22 0 0 16 Aug 2024
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 27 7 0 24 Nov 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 16 0 0 05 Oct 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 27 108 0 09 May 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 16 64 0 20 Dec 2022
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 26 15 0 17 Aug 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption Tianyu Chen Hangbo Bao Shaohan Huang Li Dong Binxing Jiao Daxin Jiang Haoyi Zhou Jianxin Li Furu Wei 15 95 0 01 Jun 2022