Aggregate or Not? Exploring Where to Privatize in DNN Based Federated
Learning Under Different Non-IID Scenes

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes

26 July 2021

Xin-Chun Li

Papers citing "Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes"

5 / 5 papers shown

Title
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
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 20 8 0 28 Oct 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting Xin-Chun Li Jin-Lin Tang Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao Le Gan De-Chuan Zhan FedML AAML 27 9 0 17 Jun 2022
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019