DAIS - Distributed Artificial Intelligent Systems

Status:

active

Start date:

2021-05-01

The use of artificial intelligence (AI) in Edge computing is entering a new era based on the use of ubiquitous small and connected devices. Until now, Europe has not been doing well, as America sets the standards and most components are produced in Asia or America. This project believes doing better is realized by (1) Putting European values of selforganization, privacy by design and low use of energy in the core of the Edge Computing components that shape this new era, and delivering the technology needed to promote these values; (2) Focusing on pan European cooperation to ramp up the capabilities needed to deliver these new components at a scale that can make a real impact. Europe does not have huge IT leaders so cooperation from a very early phase is key. All partners in the project participate in delivering key parts of these new Edge Computing components; and (3) Demonstrating the use of these components in key European industrial areas. Clear and early examples are needed to un-lock corporate and external funding to deliver on the promise of this very exciting project. The DAIS project will research and deliver distributed artificial intelligent systems. It will not research new algorithms, as such, but solves the problems of running existing algorithms on these vastly distributed edge devices that are designed based on the above three European core values. The research and innovation activities are organized around eight complementary and mutually supportive supply chains. Five of these focus on delivering the hardware and software that is needed to run industrial-grade AI on different types of networking topologies. Three of the supply chains demonstrate how known AI challenges, from different functional areas, are met by this pan European effort. The DAIS project consists of 48 parties from 11 different countries. The DAIS project fosters cooperation between large and leading industrial players from different domains.

[Show all publications]

Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics (Mar 2024)
Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini
Journal of Parallel and Distributed Computing (JPDC)

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study (Oct 2023)
Kateryna Mishchenko , Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei
The Eighth IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition (Sep 2023)
Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei, Ali Balador, Ehsan Nowroozi , Francesco Flammini, Mauro Conti
18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023)

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
18th International Conference on Information Security Practice and Experience (ISPEC 2023)

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Aug 2023)
Alireza Dehlaghi Ghadim, Tijana Markovic, Per Erik Strandberg, David Söderman , Miguel Leon Ortiz
International Conference on Machine Learning and Applications 23 (ICMLA'23)

PartnerType
BEYOND VISION - SISTEMAS MOVEIS AUTONOMOS DE REALIDADE AUMENTADA LDA
Danfoss Power Electronics A/S (DANFOSS)
Brno University of Technology - Vysoke uceni technicke v Brne Academic
DANMARKS TEKNISKE UNIVERSITET Academic
Eindhoven University of Technology Academic
INSTITUT JOZEF STEFAN Academic
Instituto de Telecomunicações Academic
INSTITUTO TECNOLOGICO DE INFORMATICA Academic
MAELARDALENS HOEGSKOLA Academic
RISE Research Institutes of Sweden Academic
TECHNICKA UNIVERZITA V LIBERCI Academic
TECHNISCHE UNIVERSITEIT DELFT Academic
Universidad de Cantabria Academic
UNIVERSIDAD DE GRANADA Academic
UNIVERSITAET zu LUEBECK Academic
Akim Metal Industrial
ALMENDE BV Industrial
ANYWI TECHNOLOGY BV Industrial
Arctos Labs Scndinavia AB Industrial
CENTRICA BUSINESS SOLUTIONS BELGIUM Industrial
COSYLAB LABORATORIJ ZA KONTROLNE SISTEME DD Industrial
ESC AEROSPACE GMBH Industrial
Eventigrate Industrial
EXPERT ANALYTICS AS Industrial
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. Industrial
FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICACIONS DE GALICIA Industrial
GIESECKE+DEVRIENT MOBILE SECURITY GMBH Industrial
Greensphere Unip. Lda Industrial
INNATERA NANOSYSTEMS BV Industrial
INSTITUT MIKROELEKTRONICKYCH APLIKACI S.R.O Industrial
JOTNE EPM TECHNOLOGY AS Industrial
Koala Tech Unipessoal LDA Industrial
NUROMEDIA GMBH Industrial
NXP SEMICONDUCTORS GERMANY GMBH Industrial
NXP SEMICONDUCTORS NETHERLANDS BV Industrial
Octavic PTS IVS Industrial
PDM E FC PROJECTO DESENVOLVIMENTO MANUTENCAO FORMACAO E CONSULTADORIALD Industrial
SCHNEIDER ELECTRIC ESPANA SA Industrial
SENSATIVE AB Industrial
SESTEK Ses ve Iletisim Bilgisayar Teknolojileri Sanayi ve Ticaret A.S. Industrial
SEVEN SOLUTIONS SL Industrial
Sirris Industrial
Step Solutions AS Industrial
STICHTING IMEC NEDERLAND Industrial
TECNOLOGIAS SERVICIOS TELEMATICOS YSISTEMAS SA Industrial
Tieto Enator Industrial
TPV AUTOMOTIVE, Tovarna avtomobilskih komponent d.o.o. Industrial
VESTEL ELEKTRONIK SANAYI VE TICARET Industrial

Ali Balador, Researcher

Email: ali.balador@mdu.se
Room: U1-191
Phone: +46730532133