DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations

25 July 2024

Papers citing "DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations"

6 / 6 papers shown

Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 142 0 0 08 May 2025
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 50 39 0 12 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 183 21,819 0 09 Dec 2016