Avoid Overfitting User Specific Information in Federated Keyword
Spotting

Avoid Overfitting User Specific Information in Federated Keyword Spotting

Interspeech (Interspeech), 2022

17 June 2022

Xin-Chun Li

ArXiv (abs)PDF HTML

Papers citing "Avoid Overfitting User Specific Information in Federated Keyword Spotting"

5 / 5 papers shown

Title
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point Bokun Wang Axel Berg D. A. E. Acar Chuteng Zhou MQ FedML 333 1 0 02 Jul 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 179 13 0 14 Apr 2024
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 229 0 0 21 Dec 2023
MrTF: Model Refinery for Transductive Federated LearningData mining and knowledge discovery (DMKD), 2023 Xin-Chun Li Yang Yang De-Chuan Zhan 106 3 0 07 May 2023
Sparse Personalized Federated Learning Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng FedML 211 12 0 12 Jul 2021