Knowledge Distillation in Federated Learning: a Survey on Long Lasting
Challenges and New Solutions

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions

16 June 2024

Tianqing Zhu

Philip S. Yu

Papers citing "Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions"

10 / 10 papers shown

Title
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 68 0 0 04 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 24 0 0 12 Apr 2025
Federated Learning on Virtual Heterogeneous Data with Local-global Distillation Chun-Yin Huang Rui Jin Can Zhao Daguang Xu Xiaoxiao Li FedML DD 41 7 0 04 Mar 2023
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Shangchao Su Bin Li Xiangyang Xue FedML 16 1 0 04 Oct 2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 66 24 0 24 May 2022
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun-Jie Luo Shandong Wu OOD MQ 60 74 0 15 Oct 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 183 535 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 168 323 0 19 Mar 2020