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Watch Your Head: Assembling Projection Heads to Save the Reliability of
  Federated Models

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

26 February 2024
Jinqian Chen
Jihua Zhu
Qinghai Zheng
Zhongyu Li
Zhiqiang Tian
    FedML
ArXivPDFHTML

Papers citing "Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models"

6 / 6 papers shown
Title
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast
Yiting Zheng
Bohan Lin
Jinqian Chen
Jihua Zhu
FedML
39
0
0
09 Mar 2025
TPFL: A Trustworthy Personalized Federated Learning Framework via
  Subjective Logic
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
Jinqian Chen
Jihua Zhu
26
0
0
16 Oct 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
36
2
0
16 May 2024
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
946
0
03 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1