The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation

21 January 2023

Papers citing "The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation"

21 / 21 papers shown

Title
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 74 265 0 17 Mar 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 88 162 0 28 Nov 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 75 657 0 20 May 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 108 334 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 309 865 0 01 Mar 2021
Specialized federated learning using a mixture of experts Edvin Listo Zec Olof Mogren John Martinsson L. R. Sütfeld D. Gillblad FedML 50 29 0 05 Oct 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 55 1,331 0 15 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 79 608 0 07 Jul 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 296 553 0 30 Mar 2020
Federating Recommendations Using Differentially Private Prototypes Mónica Ribero Jette Henderson Sinead Williamson H. Vikalo FedML 38 39 0 01 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 131 575 0 25 Feb 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 75 168 0 24 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 212 6,229 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 87 837 0 02 Dec 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 56 284 0 22 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 172 1,213 0 21 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 88 853 0 08 Oct 2019
Personalization of Deep Learning Johannes Schneider M. Vlachos 76 37 0 06 Sep 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 162 4,970 0 30 Jul 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,759 0 25 Oct 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 439 43,277 0 11 Feb 2015