Distributed Artificial Intelligent Systems

Risultati finali

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

Pubblicazioni

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

Autori: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and TERESA ALBERO-ALBERO
Pubblicato in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12010119

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

Autori: Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui and Rajendra Bishnoi
Pubblicato in: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, ISSN 2471-285X
Editore: IEEE

Data Multiplexed and Hardware Reused Architecture for Deep Neural Network Accelerator

Autori: Gopal Raut, Anton Biasizzo, Narendra Dhakad, Neha Gupta, Gregor Papa and Santosh Kumar Vishvakarma
Pubblicato in: Neurocomputing, 2022, Pagina/e 147-159, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2021.11.018

Energy-efficient In-Memory Address Calculation

Autori: AMIRREZA YOUSEFZADEH, JAN STUIJT, MARTIJN HIJDRA, HSIAO-HSUAN LIU, ANTENEH GEBREGIORGIS, ABHAIRAJ SINGH, SAID HAMDIOUI, FRANCKY CATTHOOR
Pubblicato in: Transaction on code optimization, 2022, ISSN 1544-3973
Editore: ACM

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

Autori: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Pubblicato in: MDPI Remote Sensing, 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)

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

Autori: F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, and Xenofon Fafoutis
Pubblicato in: IEEE Systems Journal, 2022, ISSN 1937-9234
Editore: IEEE

Federated Learning with Label Noise

Autori: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Pubblicato in: ACM TIST, 2022, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)

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

Autori: Zidu Li, Mason Porter and Bhaskar Choubey
Pubblicato in: Chaos, 2023, ISSN 1054-1500
Editore: American Institute of Physics

Scalability Enhancement on Software Defined Industrial Wireless Sensor Networks over TSCH

Autori: FEDERICO OROZCO-SANTOS, VÍCTOR SEMPERE-PAYÁ, JAVIER SILVESTRE-BLANES and JOSE VERA-PEREZ
Pubblicato in: IEEE Access, 2022, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.

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

Autori: Daniel Suárez, Víctor Fernández, Héctor Posadas, Pablo Sánchez
Pubblicato in: IEEE EMBEDDED SYSTEMS LETTERS, 2022, ISSN 1943-0663
Editore: 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

Autori: Dário Pedro, João P. Matos-Carvalho, José M. Fonseca and André Mora
Pubblicato in: MDPI, 2021, ISSN 1996-1944
Editore: MDPI Open Access Publishing

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

Autori: F. FERNANDO JURADO-LASSO, LETIZIA MARCHEGIANI, J. F. JURADO, ADNAN M. ABU-MAHFOUZ and XENOFON FAFOUTIS
Pubblicato in: IEEE Access, 2022, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.

Automatic Code Generation from UML for Data Memory Optimization in Microcontrollers

Autori: Hector Posadas, Jose Luis Vazquez, Eugenio Villar
Pubblicato in: Proceedens of XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Editore: IEEE

UML-Based Design Flow for Systems with Neural Networks

Autori: Daniel Suarez, Hector Posadas, Víctor Fernández
Pubblicato in: Proceedings of the XXXVIII Conference on Design of Circuits and Integrated Systems, 2023
Editore: IEEE

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

Autori: Iva Ivanov, Jure Vreča, Anton Biasizzo
Pubblicato in: International Conference on Microelectronics, Devices and Materials, 2022
Editore: MIDEM

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

Autori: Abhairaj Singh; Rajendra Bishnoi; Said Hamdioui
Pubblicato in: Design, Automation and Test in Europe Conference, 2022
Editore: IEEE

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition

Autori: Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, and Mauro Conti
Pubblicato in: 18th Conference on Computer Science and Intelligence Systems FedCSIS 2023, 2023
Editore: IEEE

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

Autori: Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
Pubblicato in: NeurIPS 2022 Workshop INTERPOLATE, 2022
Editore: NeurIPS

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

Autori: İ. Rasim Ülgen, M. Levent Arslan
Pubblicato in: IEEE Spoken Language Technology Workshop, 2022
Editore: IEEE

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

Autori: Raeshak King Gandhi, Vasileios Tsouvalas and Nirvana Meratnia
Pubblicato in: Second International Workshop on Negative Results in Pervasive Computing, 2023
Editore: IEEE

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

Autori: Xuanshu Luo, and Nirvana Meratni
Pubblicato in: International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2022
Editore: IEEE

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

Autori: Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi and Said Hamdioui
Pubblicato in: International Conference on Very Large Scale Integration (VLSI-SOC), 2022
Editore: IEEE

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

Autori: Alexandros Zervopoulos, Luís Miguel Campos, Konstantinos Oikonomou
Pubblicato in: 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, 2023
Editore: IEEE

Privacy-preserving Federated Learning System for Fatigue Detection

Autori: Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, and Sima Sinaei
Pubblicato in: IEEE CSR CyberSecurity and Resilience, 2023
Editore: IEEE

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition

Autori: Samaneh Mohammadi, Sima Sinaei, Ali Balador, and Francesco Flammini
Pubblicato in: IEEE 47th Annual Computers, Software, and Applications Conference, 2023
Editore: IEEE

Digital Twin-based Intrusion Detection for Industrial Control Systems

Autori: Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi and Panos Papadimitratos
Pubblicato in: ACM PerCom 2022, 2022
Editore: ACM

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

Autori: Vasileios Tsouvalas, Tanir Ozcelebi and Nirvana Meratnia
Pubblicato in: ACM PerCom 2022, 2022
Editore: ACM

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

Autori: Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei
Pubblicato in: The First International Symposium on Federated Learning Technologies and Applications, 2023
Editore: FLTA

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

Autori: Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
Pubblicato in: ISCAS 2023, 2023
Editore: IEEE

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

Autori: Asmae El Arrassi, Anteneh Gebregiorgis, Anass El Haddadi and Said Hamdioui
Pubblicato in: International Conference on Very Large Scale Integration, 2022
Editore: IEEE

A Configurable Mixed-Precision Convolution Processing Unit Generator in Chisel

Autori: Jure Vreča, Anton Biasizzo
Pubblicato in: 26th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2023
Editore: IEEE

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

Autori: Samaneh Mohammadi, Sima Sinaei, Ali Balador and Francesco Flammini
Pubblicato in: The 18th International Conference on Information Security Practice and Experience (ISPEC 2023), 2023
Editore: ISPEC

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment

Autori: Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg
Pubblicato in: 22nd IEEE International Conference on Machine Learning and Applications, 2023
Editore: IEEE

Risultati finali

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