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Towards Robust Federated Learning via Logits Calibration on Non-IID Data

Towards Robust Federated Learning via Logits Calibration on Non-IID Data

5 March 2024
Yu Qiao
Apurba Adhikary
Chaoning Zhang
Choong Seon Hong
    FedML
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Papers citing "Towards Robust Federated Learning via Logits Calibration on Non-IID Data"

4 / 4 papers shown
Title
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen
Yuchen Liu
Xingjun Ma
Lingjuan Lyu
FedML
159
32
0
30 May 2022
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu
Yulong Shen
Ke Cheng
Xueli Geng
Jiaxuan Fu
Tao Zhang
Zhiwei Zhang
FedML
35
161
0
25 Sep 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
355
0
07 Dec 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,833
0
08 Jul 2016
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