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Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the
  Gap Between Interpretability and Robustness

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

1 September 2024
Senthil Kumar Jagatheesaperumal
Mohamed Rahouti
Ali Alfatemi
Nasir Ghani
V. K. Quy
Abdellah Chehri
    AI4CE
ArXivPDFHTML

Papers citing "Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness"

1 / 1 papers shown
Title
Ransomware Detection Using Federated Learning with Imbalanced Datasets
Ransomware Detection Using Federated Learning with Imbalanced Datasets
Aldin Vehabovic
Hadi Zanddizari
Nasir Ghani
G. Javidi
A. S. Uluagac
Mohamed Rahouti
E. Bou-Harb
Morteza Safaei Pour
FedML
16
4
0
13 Nov 2023
1