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View Code? Open in Web Editor NEWSecured Federated Learning XGBoost - This project provides the implementation of FL XGBoost in python, which allows the fast prototyping of scecured protocols.
Secured Federated Learning XGBoost - This project provides the implementation of FL XGBoost in python, which allows the fast prototyping of scecured protocols.
As far as i know, the SoftmaxCrossEntropyLoss and one-hot code should be used when dealing with muti-classification problems. Since your code only provides logloss to deal with binary classification, could you give me some suggestions for multi-classification? Such as how to calculate the split score after the dimension of gradient g is increased when using one-hot coding.
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