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A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Data in Brief

Author(s): Jesus Ruiz-Santaquiteria; Juan D. Muñoz; Francisco J. Maigler; Oscar Deniz; Gloria Bueno
Published in: Data in Brief, 2023, ISSN 2352-3409
Publisher: Elsevier BV
DOI: 10.1016/j.dib.2024.110030

WRIT: Web Request Integrity and Attestation Against Malicious Browser Extensions

Author(s): Giorgos Vasiliadis, Apostolos Karampelas, Alexandros Shevtsov, Panagiotis Papadopoulos, Sotiris Ioannidis, Alexandros Kapravelos
Published in: IEEE Transactions on Dependable and Secure Computing, Issue 21, 2024, ISSN 1545-5971
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2023.3322516

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses

Author(s): Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
Published in: Proceedings on Privacy Enhancing Technologies, Issue 2024, 2023, ISSN 2299-0984
Publisher: Privacy Enhancing Technologies Symposium Advisory Board
DOI: 10.56553/popets-2024-0031

DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration

Author(s): Perry Gibson, Jose Cano, Elliot Crowley, Amos Storkey, Michael O'Boyle
Published in: ACM Transactions on Architecture and Code Optimization, 2024, ISSN 1544-3566
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3688609

Fast Transciphering Via Batched And Reconfigurable LUT Evaluation

Author(s): Leonard Schild, Aysajan Abidin, Bart Preneel
Published in: IACR Transactions on Cryptographic Hardware and Embedded Systems, Issue 2024, 2024, ISSN 2569-2925
Publisher: Universitatsbibliothek der Ruhr-Universitat Bochum
DOI: 10.46586/tches.v2024.i4.205-230

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Author(s): Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38, 2024, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i16.29781

Kraken: An Open-Source RISC-V SoC for Ultra-Low Power Multi-Modal Perception

Author(s): Viviane Potocnik; Alfio Di Mauro; Christoph Leitner; Moritz Scherer; Georg Rutishauser; Lorenzo Lamberti; Luca Benini
Published in: 2024
Publisher: www.researchsquare.com
DOI: 10.21203/rs.3.rs-4023416/v1

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Author(s): Anibal Pedraza; Oscar Deniz; Harbinder Singh; Gloria Bueno
Published in: Neural Computing and Applications, 2024, ISBN 1826518275
Publisher: Neural Computing and Applications (2024)
DOI: 10.1007/s00521-024-10141-1

Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices

Author(s): Vinamra Sharma, Danilo Pau, José Cano
Published in: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 2024
Publisher: IEEE
DOI: 10.1109/RTSI61910.2024.10761203

FedStale: leveraging Stale Updates in Federated Learning

Author(s): Angelo Rodio, Giovanni Neglia
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240849

Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression

Author(s): Tiago Da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo, Stéphane Pérennes, Emanuele Natale
Published in: 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024
Publisher: IEEE
DOI: 10.1109/CCGrid59990.2024.00045

Scheduling Machine Learning Compressible Inference Tasks with Limited Energy Budget

Author(s): Tiago Da Silva Barros, Davide Ferre, Frederic Giroire, Ramon Aparicio-Pardo, Stephane Perennes
Published in: Proceedings of the 53rd International Conference on Parallel Processing, 2024
Publisher: ACM
DOI: 10.1145/3673038.3673106

FedLoRa: IoT Spectrum Sensing Through Fast and Energy-Efficient Federated Learning in LoRa Networks

Author(s): Fabio Busacca, Stefano Mangione, Giovanni Neglia, Ilenia Tinnirello, Sergio Palazzo, Francesco Restuccia
Published in: 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2024
Publisher: IEEE
DOI: 10.1109/MASS62177.2024.00047

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