Selective Knowledge Sharing for Privacy-Preserving Federated
Distillation without A Good Teacher

Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher

4 April 2023

Jiawei Shao

Papers citing "Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher"

6 / 6 papers shown

Title
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 70 0 0 28 Apr 2025
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 26 19 0 09 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 32 23 0 20 Jul 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 27 37 0 06 Oct 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models Jie M. Zhang Chen Chen Lingjuan Lyu 55 14 0 23 May 2022