FedCCL: Federated Dual-Clustered Feature Contrast Under Domain
Heterogeneity

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

14 April 2024

Yu Qiao

Mengchun Zhang

Apurba Adhikary

Choong Seon Hong

Papers citing "FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity"

7 / 7 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 21 0 0 11 May 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 31 0 0 08 Apr 2025
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 43 0 0 26 Dec 2024
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 33 161 0 25 Sep 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 455 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 168 784 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021