This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning problems ...

Jan 11, 2015 · This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of ...

This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning ...

This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning problems ...

This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning problems ...

This paper presents Crowd-ML, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning problems ...

Crowd-ML is presented, a privacy-preserving machine learning framework for a crowd of smart devices, which can solve a wide range of learning problems for ...

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices. J. Hamm, A. Champion, G. Chen, M. Belkin, and D. Xuan. ICDCS, page 11-20.

In this work, we present an open-source library for privacy-preserving machine learning framework on smart devices. The library allows Android and iOS devices ...

We provide a schematic for a privacy preserving, crowd sourced crime model in Figure 1 similar to the privacy preserving framework outlined in [11] . A realtime ...