Distributed Artificial Intelligent Systems

Resultado final

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

Publicaciones

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

Autores: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and TERESA ALBERO-ALBERO
Publicado en: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editor: MDPI
DOI: 10.3390/app12010119

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

Autores: Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui and Rajendra Bishnoi
Publicado en: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, ISSN 2471-285X
Editor: IEEE

Data Multiplexed and Hardware Reused Architecture for Deep Neural Network Accelerator

Autores: Gopal Raut, Anton Biasizzo, Narendra Dhakad, Neha Gupta, Gregor Papa and Santosh Kumar Vishvakarma
Publicado en: Neurocomputing, 2022, Página(s) 147-159, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/j.neucom.2021.11.018

Energy-efficient In-Memory Address Calculation

Autores: AMIRREZA YOUSEFZADEH, JAN STUIJT, MARTIJN HIJDRA, HSIAO-HSUAN LIU, ANTENEH GEBREGIORGIS, ABHAIRAJ SINGH, SAID HAMDIOUI, FRANCKY CATTHOOR
Publicado en: Transaction on code optimization, 2022, ISSN 1544-3973
Editor: ACM

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

Autores: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Publicado en: MDPI Remote Sensing, 2021, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)

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

Autores: F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, and Xenofon Fafoutis
Publicado en: IEEE Systems Journal, 2022, ISSN 1937-9234
Editor: IEEE

Federated Learning with Label Noise

Autores: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Publicado en: ACM TIST, 2022, ISSN 2157-6904
Editor: Association for Computing Machinery (ACM)

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

Autores: Zidu Li, Mason Porter and Bhaskar Choubey
Publicado en: Chaos, 2023, ISSN 1054-1500
Editor: American Institute of Physics

Scalability Enhancement on Software Defined Industrial Wireless Sensor Networks over TSCH

Autores: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and JOSE VERA-PEREZ
Publicado en: IEEE Access, 2022, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.

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

Autores: Daniel Suárez, Víctor Fernández, Héctor Posadas, Pablo Sánchez
Publicado en: IEEE EMBEDDED SYSTEMS LETTERS, 2022, ISSN 1943-0663
Editor: 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

Autores: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Publicado en: MDPI, 2021, ISSN 1996-1944
Editor: MDPI Open Access Publishing

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

Autores: F. FERNANDO JURADO-LASSO, LETIZIA MARCHEGIANI, J. F. JURADO, ADNAN M. ABU-MAHFOUZ and XENOFON FAFOUTIS
Publicado en: IEEE Access, 2022, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.

Automatic Code Generation from UML for Data Memory Optimization in Microcontrollers

Autores: Hector Posadas, Jose Luis Vazquez, Eugenio Villar
Publicado en: Proceedens of XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Editor: IEEE

UML-Based Design Flow for Systems with Neural Networks

Autores: Daniel Suarez, Hector Posadas, Víctor Fernández
Publicado en: Proceedings of the XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Editor: IEEE

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

Autores: Iva Ivanov, Jure Vreča, Anton Biasizzo
Publicado en: International Conference on Microelectronics, Devices and Materials, 2022
Editor: MIDEM

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

Autores: Abhairaj Singh; Rajendra Bishnoi; Said Hamdioui
Publicado en: Design, Automation and Test in Europe Conference, 2022
Editor: IEEE

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition

Autores: Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, and Mauro Conti
Publicado en: 18th Conference on Computer Science and Intelligence Systems FedCSIS 2023, 2023
Editor: IEEE

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

Autores: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Publicado en: NeurIPS 2022 Workshop INTERPOLATE, 2022
Editor: NeurIPS

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

Autores: İ. Rasim Ülgen, M. Levent Arslan
Publicado en: IEEE Spoken Language Technology Workshop, 2022
Editor: IEEE

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

Autores: Raeshak King Gandhi, Vasileios Tsouvalas and Nirvana Meratnia
Publicado en: Second International Workshop on Negative Results in Pervasive Computing, 2023
Editor: IEEE

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

Autores: Xuanshu Luo, and Nirvana Meratni
Publicado en: International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2022
Editor: IEEE

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

Autores: Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi and Said Hamdioui
Publicado en: International Conference on Very Large Scale Integration (VLSI-SOC), 2022
Editor: IEEE

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

Autores: Alexandros Zervopoulos, Luís Miguel Campos, Konstantinos Oikonomou
Publicado en: 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, 2023
Editor: IEEE

Privacy-preserving Federated Learning System for Fatigue Detection

Autores: Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, and Sima Sinaei
Publicado en: IEEE CSR CyberSecurity and Resilience, 2023
Editor: IEEE

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition

Autores: Samaneh Mohammadi, Sima Sinaei, Ali Balador, and Francesco Flammini
Publicado en: IEEE 47th Annual Computers, Software, and Applications Conference, 2023
Editor: IEEE

Digital Twin-based Intrusion Detection for Industrial Control Systems

Autores: Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi and Panos Papadimitratos
Publicado en: ACM PerCom 2022, 2022
Editor: ACM

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

Autores: Vasileios Tsouvalas, Tanir Ozcelebi and Nirvana Meratnia
Publicado en: ACM PerCom 2022, 2022
Editor: ACM

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

Autores: Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei
Publicado en: The First International Symposium on Federated Learning Technologies and Applications, 2023
Editor: FLTA

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

Autores: Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
Publicado en: ISCAS 2023, 2023
Editor: IEEE

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

Autores: Asmae El Arrassi, Anteneh Gebregiorgis, Anass El Haddadi and Said Hamdioui
Publicado en: International Conference on Very Large Scale Integration, 2022
Editor: IEEE

A Configurable Mixed-Precision Convolution Processing Unit Generator in Chisel

Autores: Jure Vreča, Anton Biasizzo
Publicado en: 26th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2023
Editor: IEEE

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

Autores: Samaneh Mohammadi, Sima Sinaei, Ali Balador and Francesco Flammini
Publicado en: The 18th International Conference on Information Security Practice and Experience (ISPEC 2023), 2023
Editor: ISPEC

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment

Autores: Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg
Publicado en: 22nd IEEE International Conference on Machine Learning and Applications, 2023
Editor: IEEE

Resultado final

Publicaciones

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