FedSpeech: Federated Text-to-Speech with Continual Learning

FedSpeech: Federated Text-to-Speech with Continual Learning

14 October 2021

Zhou Zhao

Papers citing "FedSpeech: Federated Text-to-Speech with Continual Learning"

7 / 7 papers shown

Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding ZeLin Li Wei Wang FedML 24 0 0 15 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 46 0 0 01 May 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Haozhao Wang Yining Qi Tianzhe Xiao Ruixuan Li 124 1 0 18 Dec 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 44 7 0 02 Sep 2024
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech Rongjie Huang Yi Ren Jinglin Liu Chenye Cui Zhou Zhao OODD VLM 115 34 0 15 May 2022
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis Ye Jia Yu Zhang Ron J. Weiss Quan Wang Jonathan Shen ... Z. Chen Patrick Nguyen Ruoming Pang Ignacio López Moreno Yonghui Wu 207 820 0 12 Jun 2018