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Found 5 papers, 1 papers with code
Scalable federated machine learning with FEDn
Federated machine learning has great promise to overcome the input privacy challenge in machine learning.
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Conformal Prediction is a framework that produces prediction intervals based on the output from a machine learning algorithm.
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction
Conformal Prediction is a machine learning methodology that produces valid prediction regions under mild conditions.
conformalClassification: A Conformal Prediction R Package for Classification
The conformalClassification package implements Transductive Conformal Prediction (TCP) and Inductive Conformal Prediction (ICP) for classification problems.
Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery
This paper explores conformal prediction in the learning under privileged information (LUPI) paradigm.
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