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What is Hoeffding Tree Performance Across Datasets about?

The Hoeffding Tree (HT) outperforms federated learning baselines across multiple datasets, showing significant improvements in accuracy, particularly in the CIC and IoT-IDS datasets. In the SDN dataset, HT only excels with two clients but struggles with higher client counts due to class complexity. The UNSW dataset sees HT as a close second to FedAvg, while in the WUSTL dataset, HT ties with FedAvg but still outperforms other methods.

Author

Mohit

Language

EN