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Federated Learning of N-gram Language Models

Federated Learning of N-gram Language Models

8 October 2019
Mingqing Chen
A. Suresh
Rajiv Mathews
Adeline Wong
Cyril Allauzen
F. Beaufays
Michael Riley
    FedML
ArXivPDFHTML

Papers citing "Federated Learning of N-gram Language Models"

12 / 12 papers shown
Title
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
Youyang Qu
Ming Liu
Tianqing Zhu
Longxiang Gao
Shui Yu
Wanlei Zhou
MU
FedML
65
2
0
14 Jun 2024
Pretrained Models for Multilingual Federated Learning
Pretrained Models for Multilingual Federated Learning
Orion Weller
Marc Marone
Vladimir Braverman
Dawn J Lawrie
Benjamin Van Durme
VLM
FedML
AI4CE
38
42
0
06 Jun 2022
When BERT Meets Quantum Temporal Convolution Learning for Text
  Classification in Heterogeneous Computing
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Yu Tsao
Pin-Yu Chen
22
53
0
17 Feb 2022
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Privacy in Open Search: A Review of Challenges and Solutions
Privacy in Open Search: A Review of Challenges and Solutions
Samuel Sousa
Christian Guetl
Roman Kern
18
3
0
20 Oct 2021
Federated Natural Language Generation for Personalized Dialogue System
Federated Natural Language Generation for Personalized Dialogue System
Yujie Lu
Chao-Wei Huang
Huanli Zhan
Yong Zhuang
FedML
85
9
0
13 Oct 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo
  Federated Learning
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
Zhifeng Jiang
Wen Wang
Yang Liu
FedML
32
49
0
02 Sep 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Decentralizing Feature Extraction with Quantum Convolutional Neural
  Network for Automatic Speech Recognition
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
36
124
0
26 Oct 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach
Incentives for Federated Learning: a Hypothesis Elicitation Approach
Yang Liu
Jiaheng Wei
FedML
32
21
0
21 Jul 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
45
565
0
25 Feb 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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