FedDr+: Stabilizing Dot-regression with Global Feature Distillation for
Federated Learning

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning

4 June 2024

Sungnyun Kim

Se-Young Yun

Papers citing "FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning"

7 / 7 papers shown

Title
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Joey Tianyi Zhou Howard H. Yang Zuo-Qiang Liu FedML 33 6 0 17 Jan 2024
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 16 4 0 21 Dec 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 28 4 0 10 Nov 2023
Switchable Online Knowledge Distillation Biao Qian Yang Wang Hongzhi Yin Richang Hong Meng Wang 53 37 0 12 Sep 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 138 287 0 01 May 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 156 553 0 27 Jul 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017