Federated Learning Meets Natural Language Processing: A Survey

27 July 2021

Papers citing "Federated Learning Meets Natural Language Processing: A Survey"

43 / 43 papers shown

Title
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 123 4 0 15 Jan 2024
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 156 12 0 24 Oct 2023
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 101 31 0 16 Feb 2021
Robust Federated Learning with Attack-Adaptive Aggregation Ching Pui Wan Qifeng Chen OOD FedML 75 31 0 10 Feb 2021
Scaling Federated Learning for Fine-tuning of Large Language Models Agrin Hilmkil Sebastian Callh Matteo Barbieri L. R. Sütfeld Edvin Listo Zec Olof Mogren FedML 48 49 0 01 Feb 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 230 284 0 14 Dec 2020
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 75 35 0 01 Dec 2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework Dhruv Guliani F. Beaufays Giovanni Motta FedML 42 82 0 29 Oct 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Pin-Yu Chen Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee FedML 96 128 0 26 Oct 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 149 161 0 17 Sep 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 301 5,849 0 20 Jun 2020
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 75 47 0 12 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 106 1,051 0 12 Jun 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 72 53 0 11 May 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 204 57 0 20 Mar 2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos Dianbo Liu Timothy A. Miller AI4MH 71 35 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 174 573 0 19 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 275 6,294 0 10 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David Clifton 69 26 0 01 Dec 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 129 1,628 0 01 Nov 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 111 75 0 08 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 139 135 0 06 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 180 573 0 01 Oct 2019
Two-stage Federated Phenotyping and Patient Representation Learning Dianbo Liu Dmitriy Dligach Timothy A. Miller 52 81 0 14 Aug 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 70 313 0 11 Jun 2019
Approximating probabilistic models as weighted finite automata A. Suresh Brian Roark Michael Riley Vlad Schogol 67 11 0 21 May 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 81 164 0 26 Mar 2019
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records Li Huang Dianbo Liu OOD FedML 76 370 0 22 Mar 2019
One-Shot Federated Learning Neel Guha Ameet Talwalkar Virginia Smith FedML 67 218 0 28 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 93 274 0 29 Jan 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 105 584 0 25 Jan 2019
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 85 142 0 17 Dec 2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 89 626 0 07 Dec 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 94 297 0 27 Nov 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 138 1,546 0 08 Nov 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 88 288 0 09 Oct 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 173 2,585 0 02 Jun 2018
Hello Edge: Keyword Spotting on Microcontrollers Yundong Zhang Naveen Suda Liangzhen Lai Vikas Chandra 87 436 0 20 Nov 2017
Federated Tensor Factorization for Computational Phenotyping Yejin Kim Jimeng Sun Hwanjo Yu Xiaoqian Jiang FedML 64 115 0 11 Apr 2017
Factorization tricks for LSTM networks Oleksii Kuchaiev Boris Ginsburg 74 113 0 31 Mar 2017
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 135 5,315 0 13 Mar 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014