Search Results for author: Diego Perino

Found 3 papers, 1 papers with code

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

1 code implementation29 Apr 2021 Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis

We propose and implement a Privacy-preserving Federated Learning ($PPFL$) framework for mobile systems to limit privacy leakages in federated learning.

Federated Learning

Back in control -- An extensible middle-box on your phone

no code implementations14 Dec 2020 James Newman, Abbas Razaghpanah, Narseo Vallina-Rodriguez, Fabian E. Bustamante, Mark Allman, Diego Perino, Alessandro Finamore

The closed design of mobile devices -- with the increased security and consistent user interfaces -- is in large part responsible for their becoming the dominant platform for accessing the Internet.

Networking and Internet Architecture

FLaaS: Federated Learning as a Service

no code implementations18 Nov 2020 Nicolas Kourtellis, Kleomenis Katevas, Diego Perino

Indeed, FL enables local training on user devices, avoiding user data to be transferred to centralized servers, and can be enhanced with differential privacy mechanisms.

Federated Learning Object Detection

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