Search Results for author: Joao Gama

Found 6 papers, 1 papers with code

Bayesian Federated Learning: A Survey

no code implementations26 Apr 2023 Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar

This survey presents a critical overview of BFL, including its basic concepts, its relations to Bayesian learning in the context of FL, and a taxonomy of BFL from both Bayesian and federated perspectives.

Federated Learning Privacy Preserving

Learning under Concept Drift: A Review

no code implementations13 Apr 2020 Jie Lu, Anjin Liu, Fan Dong, Feng Gu, Joao Gama, Guangquan Zhang

To help researchers identify which research topics are significant and how to apply related techniques in data analysis tasks, it is necessary that a high quality, instructive review of current research developments and trends in the concept drift field is conducted.

SimTensor: A synthetic tensor data generator

no code implementations9 Dec 2016 Hadi Fanaee-T, Joao Gama

SimTensor is a multi-platform, open-source software for generating artificial tensor data (either with CP/PARAFAC or Tucker structure) for reproducible research on tensor factorization algorithms.

An eigenvector-based hotspot detection

no code implementations12 Jun 2014 Hadi Fanaee-T, Joao Gama

Space and time are two critical components of many real world systems.

Tensor Decomposition

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