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08/01/2023
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
Federated Learning (FL) is a distributed machine learning approach that ...
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01/30/2023
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
In federated learning (FL), the global model at the server requires an e...
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04/08/2020
Federated Multi-view Matrix Factorization for Personalized Recommendations
We introduce the federated multi-view matrix factorization method that e...
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01/29/2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
The increasing interest in user privacy is leading to new privacy preser...
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06/11/2016
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization
A key goal of computational personalized medicine is to systematically u...
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07/04/2015
Convex Factorization Machine for Regression
We propose the convex factorization machine (CFM), which is a convex var...
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12/15/2014
Bayesian multi-tensor factorization
We introduce Bayesian multi-tensor factorization, a model that is the fi...
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12/30/2013
Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis
Motivation: Analysis of relationships of drug structure to biological re...
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11/06/2012
Kernelized Bayesian Matrix Factorization
We extend kernelized matrix factorization with a fully Bayesian treatmen...
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10/14/2011
