ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.01557
  4. Cited By
Training Mixed-Domain Translation Models via Federated Learning

Training Mixed-Domain Translation Models via Federated Learning

3 May 2022
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Training Mixed-Domain Translation Models via Federated Learning"

16 / 16 papers shown
Title
Adaptive Latent-Space Constraints in Personalized FL
Adaptive Latent-Space Constraints in Personalized FL
Sana Ayromlou
D. B. Emerson
FedML
49
0
0
12 May 2025
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive
  Personalization
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
Qianyi Zhao
Chen Qu
Cen Chen
Mingyuan Fan
Yanhao Wang
33
1
0
28 Aug 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Yun-Wei Chu
Dong-Jun Han
Christopher G. Brinton
28
4
0
15 Jan 2024
DP-NMT: Scalable Differentially-Private Machine Translation
DP-NMT: Scalable Differentially-Private Machine Translation
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
34
7
0
24 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning
Tunable Soft Prompts are Messengers in Federated Learning
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
46
7
0
12 Nov 2023
A Comprehensive View of Personalized Federated Learning on Heterogeneous
  Clinical Datasets
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
Fatemeh Tavakoli
D. B. Emerson
Sana Ayromlou
John Jewell
Amrit Krishnan
Yuchong Zhang
A. Verma
Fahad Razak
FedML
36
1
0
28 Sep 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning
Fingerprint Attack: Client De-Anonymization in Federated Learning
Qiongkai Xu
Trevor Cohn
Olga Ohrimenko
FedML
23
2
0
12 Sep 2023
Communication Efficient Federated Learning for Multilingual Neural
  Machine Translation with Adapter
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
Yi Liu
Xiaohan Bi
Lei Li
Sishuo Chen
Wenkai Yang
Xu Sun
FedML
32
12
0
21 May 2023
Personalized Federated Learning via Gradient Modulation for
  Heterogeneous Text Summarization
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Rong Pan
Jianzong Wang
Lingwei Kong
Zhangcheng Huang
Jing Xiao
FedML
38
2
0
23 Apr 2023
Federated Learning Based Multilingual Emoji Prediction In Clean and
  Attack Scenarios
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios
Karim Gamal
A. Gaber
Hossam Amer
FedML
19
6
0
30 Mar 2023
Federated Nearest Neighbor Machine Translation
Federated Nearest Neighbor Machine Translation
Yichao Du
Zhirui Zhang
Bingzhe Wu
Lemao Liu
Tong Xu
Enhong Chen
FedML
29
6
0
23 Feb 2023
Collaborating Heterogeneous Natural Language Processing Tasks via
  Federated Learning
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
24
5
0
12 Dec 2022
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
56
100
0
02 May 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
92
946
0
03 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
77
110
0
04 Jan 2021
FedNER: Privacy-preserving Medical Named Entity Recognition with
  Federated Learning
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning
Suyu Ge
Fangzhao Wu
Chuhan Wu
Tao Qi
Yongfeng Huang
Xing Xie
158
56
0
20 Mar 2020
1