17 citations · 41 across the 10 of their papers we have counts for
3 papers · 1 filter
Achieving Fairness Across Local and Global Models in Federated Learning
Disha Makhija, Xing Han, Joydeep Ghosh +1
Achieving fairness across diverse clients in Federated Learning (FL) remains a significant challenge due to the heterogeneity of the data and the inaccessibility of sensitive attri…
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh +1
Unsupervised models can provide supplementary soft constraints to help classify new, "target" data since similar instances in the target set are more likely to share the same class…
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
This paper introduces a privacy-aware Bayesian approach that combines ensembles of classifiers and clusterers to perform semi-supervised and transductive learning. We consider scen…