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Avoid Overfitting User Specific Information in Federated Keyword
  Spotting

Avoid Overfitting User Specific Information in Federated Keyword Spotting

17 June 2022
Xin-Chun Li
Jin-Lin Tang
Shaoming Song
Bingshuai Li
Yinchuan Li
Yunfeng Shao
Le Gan
De-Chuan Zhan
    FedML
    AAML
ArXivPDFHTML

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
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point
Bokun Wang
Axel Berg
D. A. E. Acar
Chuteng Zhou
FedML
MQ
48
0
0
02 Jul 2024
MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes
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
42
9
0
14 Apr 2024
DCFL: Non-IID awareness Data Condensation aided Federated Learning
DCFL: Non-IID awareness Data Condensation aided Federated Learning
Shaohan Sha
YaFeng Sun
FedML
DD
34
0
0
21 Dec 2023
MrTF: Model Refinery for Transductive Federated Learning
MrTF: Model Refinery for Transductive Federated Learning
Xin-Chun Li
Yang Yang
De-Chuan Zhan
38
3
0
07 May 2023
Sparse Personalized Federated Learning
Sparse Personalized Federated Learning
Xiaofeng Liu
Yinchuan Li
Qing Wang
Xu Zhang
Yunfeng Shao
Yanhui Geng
FedML
41
6
0
12 Jul 2021
1