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Publications associées (14)

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring datasets that can be used to build diagnosis algorithms capable of warning ma ...

2024

Taking Back Our Commons: Social Media APIs as Subversive Tools

Our actual internet landscape is dominated by a handful of private actors we use on a daily basis: Twitter, Facebook, Instagram, amongst others. These actors, in constant search of an optimization of their data transmission processes and user experiences, ...

2023

Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Adrian Christian Holzer

In recent years, the use of chatbots in education has been driven by advances in natural language processing and the increasing availability of digital education platforms. Although the added value of educational chatbots appears promising, researchers hav ...

2023

Protecting privacy through metadata analysis

Sandra Deepthy Siby

Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...

EPFL2022

Impact of Digital and Non-Digital Urban Participatory Approaches on Public Access Conditions: An Evaluation Framework

Jens Ingensand, Thibaud Nicolas Chassin

The gradual institutionalization of public participation increasingly compels local authorities to partially share their power over the transformation of urban areas. The smooth running of a participatory session is based on selecting the appropriate type ...

MDPI2021

An End-to-End Data Pipeline for Managing Learning Analytics

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Joana Catarina Soares Machado

Despite the importance of learning analytics in digital education, there is limited support for researchers in education to generate, access, and share experimental data while complying with ethical and privacy legislation. We propose a set of related tool ...

2021

Examining the Effects of Privacy-Aware Blended Learning Scenarios in Executive Training for Policymakers and Government Officials

Denis Gillet, Isabelle Barbara Marie-Hélène Cardia, Juan Carlos Farah, Maria Gaci

Enabling blended learning scenarios that foster participation and interaction is an important consideration in the design of executive training programs. To investigate this design process, our study focuses on two aspects that are present in such scenario ...

Springer2020

Enhancing Social Media Platforms for Educational and Humanitarian Knowledge Sharing

Andrii Vozniuk

Social media (SM) platforms have demonstrated their ability to facilitate knowledge sharing on the global scale. They are increasingly often employed in educational and humanitarian domains where, despite their general benefits, they expose challenges pecu ...

EPFL2017

A Teacher Survey on Educational Data Management Practices: Tracking and Storage of Activity Traces

Denis Gillet, Maria Jesus Rodriguez Triana, Juan Carlos Farah, Andrii Vozniuk

When students participate in computer-mediated learning, their activities are often recorded for learning analytics and educational data mining purposes. While handling student data has associated privacy concerns and is often subject to legal regulations, ...

2017

Context and Semantic Aware Location Privacy

Berker Agir

With ever-increasing computational power, and improved sensing and communication capabilities, smart devices have altered and enhanced the way we process, perceive and interact with information. Personal and contextual data is tracked and stored extensivel ...

EPFL2016

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