A federated weighted Naive Bayes method that shares only discriminative weights, not probability tables, matches or exceeds federated generative Naive Bayes accuracy on 12 discrete datasets.
In: Proceedings of the 8th International Conference on Knowledge Science, Engineering and Management
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Federated Learning with Discriminative Naive Bayes Classifier
A federated weighted Naive Bayes method that shares only discriminative weights, not probability tables, matches or exceeds federated generative Naive Bayes accuracy on 12 discrete datasets.