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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

Promoting synergies for sustainability through peer-to-peer sharing: an analysis of drivers and barriers

Claudia Rebeca Binder Signer, Ralph Hansmann

Peer-to-peer (P2P) sharing may foster sustainability synergistically by saving resources, reducing costs and promoting satisfaction of consumer needs and social connectivity. A survey of Swiss and Swedish consumers (N = 1522) was conducted to analyze drive ...

TAYLOR & FRANCIS INC2023

Does Sharing Lead to Smarter Products? Managing Information Flows for Collective Servitization

Thomas Alois Weber

Peer-to-peer sharing induces persistent changes in product design. Besides bifurcating product durability, this adaptation increases the compatibility of collaborative use with rent extraction—from a producer’s viewpoint. For owners it decreases the commit ...

Springer2023

Shared metadata for data-centric materials science

Giovanni Pizzi, Ronald Earle Miller, Gian-Marco Rignanese, Carsten Baldauf, Matthias Scheffler, Tristan Bereau

The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. In order to ensure that this need helps rather than hinders scientific work, the implementation of the FAIR-data prin ...

Nature Portfolio2023

Partial Information Sharing Over Social Learning Networks

Ali H. Sayed, Virginia Bordignon

This work addresses the problem of sharing partial information within social learning strategies. In social learning, agents solve a distributed multiple hypothesis testing problem by performing two operations at each instant: first, agents incorporate inf ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

A FAIR based approach to data sharing in Europe

Joan Decker

The European fusion research activities have, over recent decades, generated a vast and varied set of data. The volume and diversity of the data that need to be catalogued and annotated make the task of organising and making the data available within a bro ...

2022

Frugal Decentralized Learning

Anne-Marie Kermarrec

Machine learning is currently shifting from a centralized paradigm to decentralized ones where machine learning models are trained collaboratively. In fully decentralized learning algorithms, data remains where it was produced, models are trained locally a ...

IEEE2022

Predictive models for response to non-invasive brain stimulation in stroke: A critical review of opportunities and pitfalls

Philip Egger, Friedhelm Christoph Hummel, Maximilian Jonas Wessel

Background: Noninvasive brain stimulation has been successfully applied to improve stroke impairments in different behavioral domains. Yet, clinical translation is limited by heterogenous comes within and across studies. It has been proposed to develop and ...

ELSEVIER SCIENCE INC2021

Nonlinear Pricing of Shareable Products

Thomas Alois Weber

We consider a durable-goods monopolist who is able to control the collaborative consumption of its goods on an aftermarket by a sharing tariff. Consumers are heterogeneous with respect to their respective need propensities in each period. We show that the ...

2020

Robust P2P Personalized Learning

Rachid Guerraoui, Yahya Benkaouz

Decentralized machine learning over peer-to-peer networks is very appealing for it enables to learn personalized models without sharing users data, nor relying on any central server. Peers can improve upon their locally trained model across a network graph ...

IEEE2020

Cooperative or undifferentiated: Two visions for housing

Valentin Daniel Maurice Bourdon

Throughout Europe, the dominant housing production practices of the last century seem to be running out of steam. Housing is looking for a future. The weakening of the power of the state, the instability of the markets and the ecological emergency have led ...

University of Nottingham2020

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, David Jules Froelicher, Joao André Gomes de Sá e Sousa

Data sharing has become of primary importance in many domains such as big-data analytics, economics and medical research, but remains difficult to achieve when the data are sensitive. In fact, sharing personal information requires individuals' unconditiona ...

2020

Strategic Durability with Sharing Markets

Thomas Alois Weber, Maryam Razeghian Jahromi

Electronic sharing markets are contributing to a paradigm shift, from consuming products to accessing products. This paper studies the effects of sharing markets on the prices for new products and on product design in terms of durability. In a dynamic econ ...

2019

System Support for Efficient Replication in Distributed Systems

Dragos-Adrian Seredinschi

Current online applications, such as search engines, social networks, or file sharing services, execute across a distributed network of machines. They provide non-stop services to their users despite failures in the underlying network. To achieve such a hi ...

EPFL2019

The Advent of the Sharing Culture and its Effect on Product Pricing

Thomas Alois Weber, Maryam Razeghian Jahromi

Empirical observations suggest that consumers' propensity towards sharing varies with culture and the individuals' socio-demographic characteristics. In an economy with overlapping generations of heterogeneous consumers, we study optimal dynamic selling by ...

2019

Towards Usable Checksums: Automating the Integrity Verification ofWeb Downloads for the Masses

Kévin Clément Huguenin, Igor Bilogrevic, Mathias Jacques Jean-Marc Humbert, Mauro Cherubini, Bertil Chapuis, Alexandre Meylan

Internet users can download software for their computers from app stores (e.g., Mac App Store and Windows Store) or from other sources, such as the developers' websites. Most Internet users in the US rely on the latter, according to our representative stud ...

ASSOC COMPUTING MACHINERY2018

Virtual Vehicle-Based Cooperative Maneuver Planning for Connected Automated Vehicles at Single-Lane Roundabouts

Denis Gillet, Ezequiel González Debada

This paper presents a distributed maneuver planner for connected automated vehicles (CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating virtual vehicles (Us) on the targeted traffic stream. Specifically, this work ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Simulating the Large-Scale Erosion of Genomic Privacy Over Time

Mathias Jacques Jean-Marc Humbert, Verena Wolf, Xiaoyu Shen

The dramatically decreasing costs of DNA sequencing have triggered more than a million humans to have their genotypes sequenced. Moreover, these individuals increasingly make their genomic data publicly available, thereby creating privacy threats for thems ...

IEEE COMPUTER SOC2018

Controlling and Pricing Shareability

Thomas Alois Weber

In the presence of a peer-to-peer economy, the option of sharing an item is valuable for consumers. By retaining control over the shareability of its products a monopolist can set a sharing tariff in conjunction with the purchase price of the product, in o ...

IEEE Computer Society, Washington2017

The Economics of Sharing Markets

Maryam Razeghian Jahromi

Sharing and redistributing assets between individuals has become a noticeable part of the economy. Ownership is no longer the sole mode of consumption and consumers have the option of choosing between ownership and access-based consumption. This change in ...

EPFL2017