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08/14/2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Hierarchical and tree-like data sets arise in many applications, includi...
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07/31/2023
Semi-Quantitative Group Testing for Efficient and Accurate qPCR Screening of Pathogens with a Wide Range of Loads
Pathogenic infections pose a significant threat to global health, affect...
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07/12/2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Graph learning methods, such as Graph Neural Networks (GNNs) based on gr...
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03/23/2023
Perturbation-Resilient Sets for Dynamic Service Balancing
Balanced and swap-robust minimal trades, introduced in [1], are importan...
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11/06/2022
Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime
As the demand for user privacy grows, controlled data removal (machine u...
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10/28/2022
Machine Unlearning of Federated Clusters
Federated clustering is an unsupervised learning problem that arises in ...
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07/18/2022
On the Study of Sample Complexity for Polynomial Neural Networks
As a general type of machine learning approach, artificial neural networ...
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06/18/2022
Certified Graph Unlearning
Graph-structured data is ubiquitous in practice and often processed usin...
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03/07/2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Many high-dimensional practical data sets have hierarchical structures i...
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01/23/2022
Balanced and Swap-Robust Trades for Dynamical Distributed Storage
Trades, introduced by Hedayat, are two sets of blocks of elements which ...
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09/08/2021
Highly Scalable and Provably Accurate Classification in Poincare Balls
Many high-dimensional and large-volume data sets of practical relevance ...
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06/24/2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Hypergraphs are used to model higher-order interactions amongst agents a...
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02/19/2021
Linear Classifiers in Mixed Constant Curvature Spaces
Embedding methods for mixed-curvature spaces are powerful techniques for...
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12/06/2020
Spatio-Temporal Graph Scattering Transform
Although spatio-temporal graph neural networks have achieved great empir...
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10/22/2019
Image processing in DNA
The main obstacles for the practical deployment of DNA-based data storag...
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06/15/2018