Communication-efficient Conformal Prediction for Distributed Datasets

Nery Riquelme-Granada, Zhiyuan Luo, Khuong An Nguyen

Research output: Contribution to conferencePaperpeer-review


Coresets have been proven useful in accelerating the computation of inductive conformal predictors (ICP) when the training data becomes large in size.This work shows that coreset-based conformal predictors are not only computationally efficient in the centralised setting, but may also naturally be used in scenarios where the dataset of interested in inherently distributed.
Original languageEnglish
Number of pages3
Publication statusPublished - 26 Aug 2022

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