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Communication-Efficient Federated Learning for Neural Machine
  Translation

Communication-Efficient Federated Learning for Neural Machine Translation

12 December 2021
Tanya Roosta
Peyman Passban
Ankit R. Chadha
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Communication-Efficient Federated Learning for Neural Machine Translation"

3 / 3 papers shown
Title
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
31
7
0
24 Nov 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning
Adaptive Parameterization of Deep Learning Models for Federated Learning
Morten From Elvebakken
Alexandros Iosifidis
Lukas Esterle
FedML
18
4
0
06 Feb 2023
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
1