Communication-Efficient Federated Learning for Neural Machine Translation

12 December 2021

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

6 / 6 papers shown

Title
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 37 7 0 24 Nov 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter Yi Liu Xiaohan Bi Lei Li Sishuo Chen Wenkai Yang Xu Sun FedML 40 12 0 21 May 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 26 4 0 06 Feb 2023
Continual Knowledge Distillation for Neural Machine Translation Yuan Zhang Peng Li Maosong Sun Yang Liu FedML CLL 23 5 0 18 Dec 2022
Training Mixed-Domain Translation Models via Federated Learning Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 29 18 0 03 May 2022
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 82 110 0 04 Jan 2021