Thomas Humphries

activity

20202026

most citedCache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration

2 citations · 5 across the 8 of their papers we have counts for

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cs.CR2024

FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy

Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum

We study the problem of privacy-preserving $k$ -means clustering in the horizontally federated setting. Existing federated approaches using secure computation suffer from substantia…

FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy

FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy