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Author: SpirosFotis

This author has written 124 articles
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Read more about the article FBK Welcomes the University of Malta

FBK Welcomes the University of Malta

  • Post published:October 13, 2022
  • Post category:News

FBK welcomes Adrian Muscat of the University of Malta and who gave a seminar titled "Person kicking ball: When Vision meets Language"

Continue ReadingFBK Welcomes the University of Malta

Stateful Function as a Service at the Edge

  • Post published:October 12, 2022
  • Post category:Journal / Magazine Publications

Detailed Info Stateful Function as a Service at the Edge Authors:Carlo Puliafito; Claudio Cicconetti; Marco Conti; Enzo Mingozzi; Andrea PassarellaTitle:Stateful Function as a Service at the EdgeAbstract:In function as a…

Continue ReadingStateful Function as a Service at the Edge

In-Network Computing With Function as a Service at the Edge

  • Post published:October 12, 2022
  • Post category:Journal / Magazine Publications

Detailed Info In-Network Computing With Function as a Service at the Edge Authors: Claudio Cicconetti; Marco Conti; Andrea Passarella Title: In-Network Computing With Function as a Service at the Edge…

Continue ReadingIn-Network Computing With Function as a Service at the Edge

FaaS execution models for edge applications

  • Post published:October 12, 2022
  • Post category:Journal / Magazine Publications

Detailed Info FaaS execution models for edge applications Authors:Claudio Cicconetti, Marco Conti, Andrea PassarellaTitle:FaaS execution models for edge applicationsAbstract:In this paper, we address the problem of supporting stateful workflows following…

Continue ReadingFaaS execution models for edge applications
Read more about the article MARVEL at the EUSIPCO 2022

MARVEL at the EUSIPCO 2022

  • Post published:September 16, 2022
  • Post category:News

FBK was at EUSIPCO 2022 (29Aug-2Sept) in Belgrade, Serbia with a poster on MARVEL work on the detection of urban sounds on low-end devices.

Continue ReadingMARVEL at the EUSIPCO 2022
Read more about the article Edge-to-Fog-to-Cloud MARVEL framework

Edge-to-Fog-to-Cloud MARVEL framework

  • Post published:September 16, 2022
  • Post category:Blog

The Edge-to-Fog-to-Cloud MARVEL framework is dispersed geographically in different countries including Poland, Serbia, Italy, and Malta.

Continue ReadingEdge-to-Fog-to-Cloud MARVEL framework
Read more about the article Automatic emotion recognition

Automatic emotion recognition

  • Post published:September 15, 2022
  • Post category:Blog

Within MARVEL project we are dealing with audio-visual emotion recognition.

Continue ReadingAutomatic emotion recognition

PhiNets: a scalable backbone for low-power AI at the edge

  • Post published:September 12, 2022
  • Post category:Journal / Magazine Publications

Detailed Info PhiNets: a scalable backbone for low-power AI at the edge Authors:Francesco Paissan, Alberto Ancilotto, and Elisabetta FarellaTitle:PhiNets: a scalable backbone for low-power AI at the edgeAbstract:In the Internet…

Continue ReadingPhiNets: a scalable backbone for low-power AI at the edge

Gradient based clustering

  • Post published:September 2, 2022
  • Post category:Publications

Detailed info Gradient based clustering AuthorsAleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya KarTitleGradient based clusteringAbstractWe propose a general approach for distance based clustering, using the gradient of the cost function…

Continue ReadingGradient based clustering

Personalized Federated Learning via Convex Clustering

  • Post published:September 2, 2022
  • Post category:Publications

Detailed info Personalized Federated Learning via Convex Clustering AuthorsAleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya KarTitlePersonalized Federated Learning via Convex ClusteringAbstractWe propose a parametric family of algorithms for personalized federated…

Continue ReadingPersonalized Federated Learning via Convex Clustering
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Recent Posts

  • Masking Speech Contents by Random Splicing: is Emotional Expression Preserved?
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  • Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities

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