Distributed Artificial Intelligent Systems

Livrables

DAIS industrial demonstrators Y2.

DAIS industrial demonstrators Y1.

Public website and social media presence at the project start

This deliverable is the initial version of the public website of the DAIS project and setup of the social media channels such as Twitter LinkedIn and YouTube

DAIS industrial Use Case booklet

The document provides overview of DAIS industrial Use Cases The main objective of this deliverable is to spread the idea of DAIS and scope of Use Cases among general public The document includes technical assumptions of the Use Cases functional scope information about engaged entities etc

Publications

TSCH Multiflow Scheduling with QoS Guarantees: A Comparison of SDN with common Schedulers

Auteurs: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and TERESA ALBERO-ALBERO
Publié dans: MDPI Applied Sciences, 2021, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app12010119

Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks

Auteurs: Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui and Rajendra Bishnoi
Publié dans: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, ISSN 2471-285X
Éditeur: IEEE

Data Multiplexed and Hardware Reused Architecture for Deep Neural Network Accelerator

Auteurs: Gopal Raut, Anton Biasizzo, Narendra Dhakad, Neha Gupta, Gregor Papa and Santosh Kumar Vishvakarma
Publié dans: Neurocomputing, 2022, Page(s) 147-159, ISSN 0925-2312
Éditeur: Elsevier BV
DOI: 10.1016/j.neucom.2021.11.018

Energy-efficient In-Memory Address Calculation

Auteurs: AMIRREZA YOUSEFZADEH, JAN STUIJT, MARTIJN HIJDRA, HSIAO-HSUAN LIU, ANTENEH GEBREGIORGIS, ABHAIRAJ SINGH, SAID HAMDIOUI, FRANCKY CATTHOOR
Publié dans: Transaction on code optimization, 2022, ISSN 1544-3973
Éditeur: ACM

Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

Auteurs: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Publié dans: MDPI Remote Sensing, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)

ELISE: A Reinforcement Learning Framework to Optimize the Sloftframe Size of TSCH in SDN-Based IoT Networks

Auteurs: F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, and Xenofon Fafoutis
Publié dans: IEEE Systems Journal, 2022, ISSN 1937-9234
Éditeur: IEEE

Federated Learning with Label Noise

Auteurs: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Publié dans: ACM TIST, 2022, ISSN 2157-6904
Éditeur: Association for Computing Machinery (ACM)

Recurrence recovery in heterogeneous Fermi--Pasta--Ulam--Tsingou systems

Auteurs: Zidu Li, Mason Porter and Bhaskar Choubey
Publié dans: Chaos, 2023, ISSN 1054-1500
Éditeur: American Institute of Physics

Scalability Enhancement on Software Defined Industrial Wireless Sensor Networks over TSCH

Auteurs: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and JOSE VERA-PEREZ
Publié dans: IEEE Access, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.

Accelerating the Verification of Forward Error Correction Decoders by PCIe FPGA Cards

Auteurs: Daniel Suárez, Víctor Fernández, Héctor Posadas, Pablo Sánchez
Publié dans: IEEE EMBEDDED SYSTEMS LETTERS, 2022, ISSN 1943-0663
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/les.2022.3218289

Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

Auteurs: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Publié dans: MDPI, 2021, ISSN 1996-1944
Éditeur: MDPI Open Access Publishing

A Survey on Machine Learning Software-Defined Wireless Sensor Networks: Current status and major challenges

Auteurs: F. FERNANDO JURADO-LASSO, LETIZIA MARCHEGIANI, J. F. JURADO, ADNAN M. ABU-MAHFOUZ and XENOFON FAFOUTIS
Publié dans: IEEE Access, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.

Automatic Code Generation from UML for Data Memory Optimization in Microcontrollers

Auteurs: Hector Posadas, Jose Luis Vazquez, Eugenio Villar
Publié dans: Proceedens of XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Éditeur: IEEE

UML-Based Design Flow for Systems with Neural Networks

Auteurs: Daniel Suarez, Hector Posadas, Víctor Fernández
Publié dans: Proceedings of the XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Éditeur: IEEE

Hardware Acceleration of the YOLO Convolutional Neural Network on a Field-Programmable Gate Array

Auteurs: Iva Ivanov, Jure Vreča, Anton Biasizzo
Publié dans: International Conference on Microelectronics, Devices and Materials, 2022
Éditeur: MIDEM

Referencing-in-Array Scheme for RRAM-based CIM Architecture

Auteurs: Abhairaj Singh; Rajendra Bishnoi; Said Hamdioui
Publié dans: Design, Automation and Test in Europe Conference, 2022
Éditeur: IEEE

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition

Auteurs: Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, and Mauro Conti
Publié dans: 18th Conference on Computer Science and Intelligence Systems FedCSIS 2023, 2023
Éditeur: IEEE

Federated Learning with Noisy Labels: Achieving Generalization in the Face of Label Noise

Auteurs: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Publié dans: NeurIPS 2022 Workshop INTERPOLATE, 2022
Éditeur: NeurIPS

Unsupervised Domain Adaptation Of Neural PLDA Using Segment Pairs For Speaker Verification

Auteurs: İ. Rasim Ülgen, M. Levent Arslan
Publié dans: IEEE Spoken Language Technology Workshop, 2022
Éditeur: IEEE

On efficacy of Meta-Learning for Domain Generalization in Speech Emotion Recognition

Auteurs: Raeshak King Gandhi, Vasileios Tsouvalas and Nirvana Meratnia
Publié dans: Second International Workshop on Negative Results in Pervasive Computing, 2023
Éditeur: IEEE

A Codeword-Independent Localization Technique for Reconfigurable Intelligent Surface-Enhanced Environments using Adversarial Learning

Auteurs: Xuanshu Luo, and Nirvana Meratni
Publié dans: International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2022
Éditeur: IEEE

Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

Auteurs: Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi and Said Hamdioui
Publié dans: International Conference on Very Large Scale Integration (VLSI-SOC), 2022
Éditeur: IEEE

Q-Delegation: VNF Load Balancing through Reinforcement Learning-Based Packet Delegation

Auteurs: Alexandros Zervopoulos, Luís Miguel Campos, Konstantinos Oikonomou
Publié dans: 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, 2023
Éditeur: IEEE

Privacy-preserving Federated Learning System for Fatigue Detection

Auteurs: Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, and Sima Sinaei
Publié dans: IEEE CSR CyberSecurity and Resilience, 2023
Éditeur: IEEE

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition

Auteurs: Samaneh Mohammadi, Sima Sinaei, Ali Balador, and Francesco Flammini
Publié dans: IEEE 47th Annual Computers, Software, and Applications Conference, 2023
Éditeur: IEEE

Digital Twin-based Intrusion Detection for Industrial Control Systems

Auteurs: Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi and Panos Papadimitratos
Publié dans: ACM PerCom 2022, 2022
Éditeur: ACM

Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning

Auteurs: Vasileios Tsouvalas, Tanir Ozcelebi and Nirvana Meratnia
Publié dans: ACM PerCom 2022, 2022
Éditeur: ACM

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study

Auteurs: Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei
Publié dans: The First International Symposium on Federated Learning Technologies and Applications, 2023
Éditeur: FLTA

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

Auteurs: Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
Publié dans: ISCAS 2023, 2023
Éditeur: IEEE

Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM)

Auteurs: Asmae El Arrassi, Anteneh Gebregiorgis, Anass El Haddadi and Said Hamdioui
Publié dans: International Conference on Very Large Scale Integration, 2022
Éditeur: IEEE

A Configurable Mixed-Precision Convolution Processing Unit Generator in Chisel

Auteurs: Jure Vreča, Anton Biasizzo
Publié dans: 26th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2023
Éditeur: IEEE

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition

Auteurs: Samaneh Mohammadi, Sima Sinaei, Ali Balador and Francesco Flammini
Publié dans: The 18th International Conference on Information Security Practice and Experience (ISPEC 2023), 2023
Éditeur: ISPEC

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment

Auteurs: Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg
Publié dans: 22nd IEEE International Conference on Machine Learning and Applications, 2023
Éditeur: IEEE

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