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Concept

Mobile internet device

Publications associées (24)

Deplatforming did not decrease Parler users' activity on fringe social media

Robert West, Manoel Horta Ribeiro

Online platforms have banned ("deplatformed") influencers, communities, and even entire websites to reduce content deemed harmful. Deplatformed users often migrate to alternative platforms, which raises concerns about the effectiveness of deplatforming. He ...

OXFORD UNIV PRESS2023

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference performance through t ...

Assoc Computing Machinery2023

Groove: Flexible Metadata-Private Messaging

Ludovic Barman, David Lazar

Metadata-private messaging designs that scale to support millions of users are rigid: they limit users to a single device that is online all the time and transmits on short regular intervals, and require users to choose precisely when each of their buddies ...

Usenix Assoc2022

Toward Mobile Distributed Ledgers

Boi Faltings, Sujit Prakash Gujar

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on Device-to-Device (D2D) ecosystems (e.g., crowdsensing). Sophisticated applications, like cryptocurrencies, need distr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Moby: A Blackout-Resistant Anonymity Network for Mobile Devices

Bryan Alexander Ford, Antoine Rault

Internet blackouts are challenging environments for anonymity and censorship resistance. Existing popular anonymity networks (e.g., Freenet, I2P, Tor) rely on Internet connectivity to function, making them impracticable during such blackouts. In such a set ...

2022

Space allocation for multi-modal urban networks with ridesplitting services and public transport

Nikolaos Geroliminis, Lynn Fayed

The surge of Mobility on Demand (MoD) is largely attributed to advancements in mobile internet and technology. Ridesourcing platforms, among other solution services, offer convenience and flexibility when it comes to pick-up/drop-off time and location, all ...

The National Academies of Sciences, Engineering, and Medicine2022

Advances and Open Problems in Federated Learning

Martin Jaggi, Ayfer Özgür Aydin, Sebastian Urban Stich, Florian Tramèr, Lie He

Federated learning (FL) is a machine learning setting where many clients (e.g., mobile devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g., service provider), while keeping the training data decen ...

NOW PUBLISHERS INC2021

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra, Georgios Damaskinos

Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users local. Standard FL infrastructures are however designed to have no energy or ...

Association for Computing Machinery2020

Mneme: A Mobile Distributed Ledger

Boi Faltings, Sujit Prakash Gujar

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on device-to-device (D2D) ecosystems (e.g., crowdsensing). More sophisticated applications, like cryptocurrencies, need ...

IEEE2020

Instruction, Student Engagement and Learning Outcomes: A Case Study Using Anonymous Social Media in a Face-to-face Classroom

Denis Gillet, Maria Jesus Rodriguez Triana, Adrian Christian Holzer

With the wide availability of mobile devices and the growing interest in social media, numerous applications have emerged to support student engagement in the classroom. There is conflicting evidence, however, on whether the engagement benefits of such app ...

2020

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

IEEE2019

Ethics in Research

Science is in revolution. The formidable scientific and technological developments of the last century have dramatically transformed the way in which we conduct scientific research. The knowledge and applications that science produces has profound conseque ...

2019

Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain

Boi Faltings, Sujit Prakash Gujar

The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities. However, we need to offer appropriate incentives to the mobile users who ...

IEEE2018

Encapsulating Online Labs in Structured Learning Spaces

Denis Gillet, Juan Carlos Farah

This paper builds on the results of European research projects to support STEM education with online labs. We present Integrated Interaction Apps as a means to support learning activities centered on online labs. We then show how these apps, labs and other ...

2018

A New Kinematic Model and Control Strategy for a Mobile Platform for Transporting Lightweight Manipulators

Andres San Millan Rodriguez

This work is concerned with the mechanical design and the description of the different components of a new mobile base for a lightweight mobile manipulator. These kinds of mobile manipulators are normally composed of multiple lightweight links mounted on a ...

MDPI2018

Blending Digital and Face-to-Face Interaction Using a Co -Located Social MediaApp in Class

Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk, Sten Govaerts

Improving face-to-face (f2f) interaction in large classrooms is a challenging task as student participation can be hard to initiate. Thanks to the wide adoption of personal mobile devices, it is possible to blend digital and face-to-face interaction and in ...

IEEE COMPUTER SOC2018

SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices

Jean-Pierre Hubaux, Kévin Clément Huguenin, Mohammad Emtiyaz Khan, Italo Ivan Dacosta Petrocelli, Joana Catarina Soares Machado, Katarzyna Lucja Olejnik

Permission systems are the main defense that mobile platforms, such as Android and iOS, offer to users to protect their private data from prying apps. However, due to the tension between usability and control, such systems have several limitations that oft ...

IEEE2017

Design and Applications of Approximate Circuits by Gate-Level Pruning

Christian Enz, Vincent Frédéric Camus, Jérémy Lucien Maurice Schlachter

Energy-efficiency is a critical concern for many systems, ranging from Internet of things objects and mobile devices to high-performance computers. Moreover, after 40 years of prosperity, Moore's law is starting to show its economic and technical limits. N ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Examining the effects of social media in co-located classrooms: A case study based on SpeakUp

Denis Gillet, Adrian Christian Holzer, Maria Jesus Rodriguez Triana, Luis Pablo Prieto Santos

The broad availability of mobile computing devices has prompted the apparition of social media applications that support teaching and learning. However, so far, there is conflicting evidence as to whether the benefits such applications provide in terms of ...

Springer International Publishing2016

MicroCast: Cooperative Video Streaming Using Cellular and Local Connections

Christina Fragouli, Lorenzo Keller

We consider a group of mobile users, within proximity of each other, who are interested in watching the same online video. The common practice today is that each user downloads the video independently on her mobile device using her own cellular connection, ...

Ieee-Inst Electrical Electronics Engineers Inc2016