Very Efficient Deep Learning in IOT

Rezultaty

Intermediate dissemination plan and report

Update of D82 periodic reports providing updated plans and reports on dissemination T82

Second implementation of Security, Safety and Robustness mechanisms and tools (ANT, PU, M27)

Report on the extended design and implementation of cross-platform attestation, execution and communication. Report on the simulation platform and the Renode extensions on RISC-V. Extended draft on robustness and safety tools. (all tasks)

Evaluation of the DL accelerator designs

This deliverable is a report showing the results of the evaluation of the different DL accelerator designs (T3.1).

Initial report on the DL accelerator design

In this report we will describe the design and evaluation of the heterogeneous accelerator as well as the initial report on the design of the reconfigurable accelerator T32 and T33

First dissemination plan and report

First report on dissemination plan and channels and tools T81 and T82

Final report on cognitive IoT hardware platform and microserver development

Based on D4.1, this deliverable focuses on the final hard hardware and firmware developments.

Report on Open Call results

Report on the final use case architectures, developments and benchmarking results including lessons learned with respect to the VEDLIoT hardware platforms and toolchain (T7.5 and T7.8).

Design and early release of Security, Safety and Robustness mechanisms and tools

Report on the early design of attestation mechanisms with results on local implementations T51 Includes first draft of security support for execution and communication mechanisms and tools T52

Extended design and first implementation of Security, Safety and Robustness mechanisms and tools

Report on the design and implementation of distributed endtoend attestation T51 Extended design and implementation of communication with integrated attestation T52 Initial draft on robustness and safety tools T55

Report on existing hardware/software interfaces for DL and compilers

First report on the current landscape of software tools for interfacing and compiling deep learning acceleration on heterogeneous hardware T61

Report on cognitive IoT hardware optimizations

This deliverable covers the optimization efforts specializing the hardware platform towards the uses cases (T4.8)

Second report on use case development and optimisation

Second report on the developments and intermediate optimisations of the three use case, based on D7.2.

Dissemination plan and report

Update of D8.2, periodic reports providing updated plans and reports on dissemination (T8.2).

Intermediate report on the methods for requirement, specification, performance metrics and verification of context limited AI processing systems

This deliverable is an intermediate report focussing on the overall VEDLIoT requirements T21 and T22

Final report on the DL accelerator design

In this report we will describe the design and evaluation of the four DL accelerators: heterogeneous, reconfigurable, dynamically reconfigurable, and co-design. A comparison across the different designs will be discussed (T3.3 - T3.5).

Final report on wireless communication infrastructure

Extending D4.2, this report finalizes the wireless communication infrastructure

Final report on FPGA infrastructure, RISC-V system and accelerators

As a follow-up of D4.3, this report focuses on the FPGA infrastructure as well as the full RISC-V development (T4.4, T4.6 and T4.7)

Final report on the methods for requirement, specification, performance metrics and verification of context limited AI processing systems

Based on D21 this deliverable verifies the different requirements reviews the specification and provides an assessment of the processing system T21 and T22

Final report on use case development, optimisation, benchmarking and evaluation

Final report on the developments and optimisations of the three use case, based on D7.3. This report includes the benchmarking and evaluation of the use cases, comparing the baseline benchmarks to the optimised use cases (T7.2-T7.5).

Integrated and extended Security, Safety and Robustness mechanisms and tools

Final reports on the integration and evaluation of distributed attestation, communication and execution mechanisms, on the continuous integration engine and the simulation platform and on robustness and safety tools. (all tasks)

Publikacje

A Comprehensive Trusted Runtime for WebAssembly with Intel SGX

Autorzy: J. Ménétrey, M. Pasin, P. Felber, V. Schiavoni, G. Mazzeo, A. Hollum, D. Vaydia
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Wydawca: IEEE Computer Society
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TEE-Watchdog: Mitigating Unauthorized Activities within Trusted Execution Environments in ARM-Based Low-Power IoT Devices

Autorzy: Khurshid, Anum; Yalew, Sileshi Demesie; Aslam, Mudassar; Raza, Shahid
Opublikowane w: Security and Communication Networks, Numer Volume 2022, Article ID 8033799, 2022, ISSN 1939-0122
Wydawca: John Wiley & Sons Ltd.
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ShieLD: Shielding Cross-zone Communication within Limited-resourced IoT Devices running Vulnerable Software Stack

Autorzy: A. Khurshid, S. D. Yalew, M. Aslam and S. Raza
Opublikowane w: IEEE Transactions on Dependable and Secure Computing, Numer 6, 2022, ISSN 1545-5971
Wydawca: IEEE Computer Society
DOI: 10.1109/tdsc.2022.3147262

A compositional approach to creating architecture frameworks with an application to distributed AI systems

Autorzy: Hans-Martin Heyn; Eric Knauss; Patrizio Pelliccione
Opublikowane w: Journal of Systems and Software (0164-1212) vol.198(2023), Numer 9, 2023, ISSN 0164-1212
Wydawca: Elsevier BV
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Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation.

Autorzy: Florian Porrmann; Sarah Pilz; Alessandra Stella; Alessandra Stella; Alexander Kleinjohann; Alexander Kleinjohann; Michael Denker; Jens Hagemeyer; Ulrich Rückert
Opublikowane w: Frontiers in neuroinformatics, Numer 15, 2021, ISSN 1662-5196
Wydawca: Frontiers Research Foundation
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AutoCert: Automated TOCTOU-secure Digital Certification for IoT with combined Authentication and Assurance

Autorzy: Anum Khurshida, Shahid Razaa
Opublikowane w: Computers & Security, Volume 124, Numer C, January 2023, Numer January 2023, 2023, ISSN 0167-4048
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2022.102952

Finite-Set Direct Torque Control via Edge-Computing-Assisted Safe Reinforcement Learning for a Permanent-Magnet Synchronous Motor

Autorzy: Maximilian Schenke; Barnabas Haucke-Korber; Oliver Wallscheid
Opublikowane w: IEEE Transactions on Power Electronics, Numer Volume: 38, Numer: 11, November 2023, 2023, Strona(/y) 13741 - 13756, ISSN 0885-8993
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpel.2023.3303651

An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs

Autorzy: Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
Opublikowane w: ACM Transactions on Architecture and Code Optimization (TACO), Numer Vol. 21, No. 1, 2024, ISSN 1544-3566
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Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT

Autorzy: R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer, M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann, F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala, G. Latonsinski
Opublikowane w: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Numer April 2023, 2023, Strona(/y) 1-6, ISSN 1558-1101
Wydawca: Ada-Europe
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A Survey of Domain-Specific Architectures for Reinforcement Learning

Autorzy: Marc Rothmann; Mario Porrmann
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MushR: A Smart, Automated, and Scalable Indoor Harvesting System for Gourmet Mushrooms

Autorzy: Anant Sujatanagarjuna; Shohreh Kia; Dominique Fabio Briechle; Benjamin Leiding
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Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm

Autorzy: Badjie, Bakary; Cecílio, José; Casimiro, António
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FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning

Autorzy: Han Wang, David Eklund, Alina Oprea, Shahid Raza
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Unlocking the potential of IoT systems: The role of deep learning and AI

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VEDLIoT: Next generation AIoT applications

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Opublikowane w: The Innovation Platform, Numer Numer 16, 2023, Strona(/y) 388-191
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Identifying and managing data quality requirements: a design science study in the field of automated driving

Autorzy: S. Pradhan, H.-M. Heyn and E. Knauss
Opublikowane w: Software Quality Journal, Numer Special Numer on Artificial Intelligence and Requirements Engineering, 2023
Wydawca: Springer
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More Than Malware: Unmasking the Hidden Risk of Cybersecurity Regulations

Autorzy: Mazaher Kianpour and Shahid Raza
Opublikowane w: International Cybersecurity Law Review, Numer 2024, 2024
Wydawca: International Cybersecurity Law Review
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The VEDLIoT Project - Next-generation accelerated IoT

Autorzy: Jens Hagemeyer in behalf of the VEDLIoT Consortium
Opublikowane w: HiPEACinfo67, Numer November 2022, 2022, Strona(/y) pp. 18-19
Wydawca: HiPEAC

Using WebAssembly for a more interoperable, secure cloud-edge continuum

Autorzy: Jämes Ménétrey, Pascal Felber, Marcelo Pasin and Valerio Schiavoni
Opublikowane w: HiPEACinfo68, Numer January 2023, 2023, Strona(/y) pp. 24-25
Wydawca: HiPEAC

Next-generation accelerated IoT – The VEDLIoT project

Autorzy: Carola Haumann and Jens Hagemeyer in behalf of the VEDLIoT Consortium
Opublikowane w: HiPEACinfo, Numer No 71, 2024, Strona(/y) 24-25
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On the generalization of Deep Learning models for AoA estimation in bluetooth indoor scenarios,

Autorzy: I. Pisa, G. Boquet, X. Vilajosana et al
Opublikowane w: Internet of Things, 2024, ISSN 2542-6605
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Next generation accelerated AIoT systems and applications

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Setting AI in context: A case study on defining the context and operational design domain for automated driving

Autorzy: Hans-Martin Heyn, Padmini Subbiash, Jennifer Linder, Eric Knauss, Olof Eriksson
Opublikowane w: 28th International Working Conference on Requirement Engineering: Foundation for Software Quality, 2022
Wydawca: Foundation for Software Quality
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Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives

Autorzy: F. Book, A. Traue, M. Schenke, B. Haucke-Korber and O. Wallscheind
Opublikowane w: Proceedings of 2023 IEEE International Electric Machines & Drives Conference (IEMDC), Numer 06 September 2023, 2023, Strona(/y) 1-7, ISBN 979-8-3503-9899-1
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COBRA: Dynamic Proactive Secret Sharing for Confidential BFT Services

Autorzy: Robin Vassantlal, Eduardo Alchieri, Bernardo Ferreira, Alysson Bessani
Opublikowane w: IEEE Symposium on Security and Privacy (SP), 2022, Strona(/y) 1528-1528, ISBN 978-1-6654-1316-9
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WaTZ: A Trusted WebAssembly Runtime Environment with Remote Attestation for TrustZone

Autorzy: James Menetrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Opublikowane w: ICDCS'22: Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, July 2022, Numer 2022, 2022, Strona(/y) 1177-1189, ISBN 978-1-6654-7177-0
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Shielding federated learning systems against inference attacks with ARM TrustZone

Autorzy: Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni
Opublikowane w: Proceedings of Middleware 2022 (23rd ACM/IFIP Middleware), Numer 8, 2022, Strona(/y) 335-348, ISBN 978-1-6654-5155-0
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Exploiting the Potential of Flexible Processing Units

Autorzy: Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso
Opublikowane w: 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Numer October 2022, 2023, Strona(/y) 34-45, ISBN 979-8-3503-0548-7
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VEDLIoT: Very Efficient Deep Learning in IoT

Autorzy: M. Kaiser, R. Griessl, N. Kucza, C. Haumann, L. Tigges, K. Mika, J. Hagemeyer, F. Porrmann, U. Rückert, M. vor dem Berge, S. Krupop, M. Porrmann, M. Tassemeier, P. Trancoso, F. Qararyah, S. Zouzoula, A. Casimiro, A. Bessani, J. Cecílio, S. Andersson, O. Brunnegard, O. Ekiksson, R. Weiss, F. Meierhöfer, H. Salomonsoon, E. Malekzadeh, D. Ödman, A. Khurshid, P. Felber, M. Pasin, V. Schiavoni, J.
Opublikowane w: Automation & Test in Europe Conference & Exhibition (DATE), Numer 14-23 March 2022, 2022, ISSN 1558-1101
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Preventing EFail Attacks with Client-Side WebAssembly: The Case of Swiss Post's IncaMail

Autorzy: Pascal Gerig; Jämes Ménétrey; Baptiste Lanoix; Florian Stoller; Pascal Felber; Marcelo Pasin; Valerio Schiavoni
Opublikowane w: DEBS'23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Numer April 2023, 2023, Strona(/y) 151-156, ISBN 979-8-4007-0122-1
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Towards Multi-camera System for the Evaluation of Motorcycle Driving Test

Autorzy: G. R. Leone, M. Righi, D. Moroni, F. Paolucci
Opublikowane w: 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2023, Strona(/y) 561-568, ISBN 978-1-6654-6495-6
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On the Resilience of Machine Learning-Based IDS for Automotive Networks

Autorzy: Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi, Rolf Blom, Shahid Raza
Opublikowane w: Proceedings of the IEEE Vehicular Networking Conference (VNC), Numer June 2023, 2023, Strona(/y) pp. 239-246, ISBN 979-8-3503-3549-1
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Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environment

Autorzy: Simon Queyrut, Valerio Schiavoni, Pascal Felber
Opublikowane w: Proceedings 43rd International Conference on Distributed Computing Systems, Numer September 2023, 2023, Strona(/y) 626-637, ISBN 979-8-3503-3986-4
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STANN - Synthesis Templates for Artificial Neural Network Inference and Training

Autorzy: Marc Rothmann, Mario Porrmann
Opublikowane w: Advances in Computational Intelligence. IWANN 2023, Numer April 2023, 2023, Strona(/y) 394–405, ISBN 978-3-031-43084-8
Wydawca: Springer, Cham
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ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators

Autorzy: Muhammad Waqar Azhar; Stavroula Zouzoula; Pedro Trancoso
Opublikowane w: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, Numer 6, 2023, Strona(/y) pp. 63-72, ISBN 979-8-4007-0140-5
Wydawca: ACM - Association for Computing Machinery
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An Exploratory Study of Attestation Mechanisms for Trusted Execution Environments

Autorzy: Jämes Ménétrey, Christian Göttel, Marcelo Pasin, Pascal Felber, Valerio Schiavoni
Opublikowane w: SysTEX'22, Numer 5th Workshop on System Software for Trusted Execution, 2022
Wydawca: Cornell University
DOI: 10.48550/arxiv.2204.06790

VSA: A Hybrid Vector-Systolic Architecture

Autorzy: Mateo Vázquez Maceiras, Muhammad Waqar Azhar, Pedro Trancoso
Opublikowane w: Proceedings of 2022 2022 IEEE 40th International Conference on Computer Design (ICCD), Numer October 2022, 2022, Strona(/y) 368-376, ISBN 978-1-6654-6186-3
Wydawca: IEEE
DOI: 10.1109/iccd56317.2022.00061

RECS: A Scable Platform for Heterogeneous Computing

Autorzy: Kevin Mika, Florian Porrmann, Nils Kucza, René Griessl and Jens Hagemeyer
Opublikowane w: Proceedings of 2023 IEEE 36th International System-on-Chip Conference (SOCC), Numer September 2023, 2023, Strona(/y) 1-6, ISBN 979-8-3503-0011-6
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DOI: 10.1109/socc58585.2023.10256982

FiBHA: Fixed Budget Hybrid CNN Accelerator

Autorzy: Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
Opublikowane w: IEEE 34th International Symposium on Computer Architecture and High Performance Computing, Numer November 2022, 2022, Strona(/y) 180-190, ISBN 978-1-6654-5155-0
Wydawca: IEEE
DOI: 10.1109/sbac-pad55451.2022.00029

WebAssembly as a Common Layer for the Cloud-edge Continuum

Autorzy: Jämes Ménétrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Opublikowane w: FRAME'22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, co-located with HPDC'22, Numer July 2022, 2022, Strona(/y) 3-8
Wydawca: Association for Computing Machinery, New York, NY, United States
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GradSec: a TEE-based Scheme Against FederatedLearning Inference Attacks

Autorzy: Aghiles Ait Messaoud, Vlad Nitu, Sonia Ben Mokhtar, Valerio Schiavoni
Opublikowane w: ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, Numer 2021, 2021, Strona(/y) pp. 10-12, ISBN 978-1-4503-8708-8
Wydawca: ACM - Association for Computing Machinery
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A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs

Autorzy: J. Ménétrey, A. Grueter, P. Yuhala, J. Oeftiger, P. Felber, M. Pasin, V. Schiavoni
Opublikowane w: OPODIS'23: Proceedings of the 27th Conference on Principles of Distributed Systems, Numer December 2023, 2023
Wydawca: OPODIS'23: 27th Conference on Principles of Distributed Systems
DOI: 10.48550/arxiv.2312.00702

RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory

Autorzy: Stavroula Zouzoula, Muhammad Waqar Azhar, Pedro Trancoso
Opublikowane w: Proceedings of 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Numer April 2023, 2023, Strona(/y) 352-354, ISBN 979-8-3503-9739-0
Wydawca: IEEE
DOI: 10.1109/ispass57527.2023.00050

On the Minimal Knowledge Required for Solving Stellar Consensus

Autorzy: Robin Vassantlal; Hasan Heydari; Alysson Bessani
Opublikowane w: Proceedings 43rd International Conference on Distributed Computing Systems, Numer June 2023, 2023, Strona(/y) 682-691, ISBN 979-8-3503-3986-4
Wydawca: IEEE
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Attestation Mechanisms for Trusted Execution Environments Demystified

Autorzy: Jämes Ménétrey, Christian Göttel, Anum Khurshid, Marcelo Pasin, Pascal Felber, Valerio Schiavoni and Shahid Raza
Opublikowane w: DAIS'22, Numer 22, 2022
Wydawca: Springer
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Fortress: Securing IoT Peripherals with Trusted Execution Environments

Autorzy: P. Yuhala, J. Ménétrey, P. Felber, M. Pasin, V. Schiavoni
Opublikowane w: 2024 Symposium on Applied Computing, 2023
Wydawca: Association for Computing Machinery
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How Hard is Asynchronous Weight Reassignment? (Extended Version)

Autorzy: Heydari, Hasan; Silvestre, Guthemberg; Bessani, Alysson
Opublikowane w: IWANN International Work Conference on Artificial Neural Networks, Numer 10, 2023, Strona(/y) 523-533, ISBN 979-8-3503-3986-4
Wydawca: IEEE
DOI: 10.48550/arxiv.2306.03185

Making Reads in BFT State Machine Replication Fast, Linearizable, and Live.

Autorzy: Christian Berger; Hans P. Reiser; Alysson Bessani
Opublikowane w: SRDS, Numer 2, 2021, Strona(/y) pp. 1-12, ISBN 978-1-6654-3819-3
Wydawca: IEEE
DOI: 10.1109/srds53918.2021.00010

FAQ: A Flexible Accelerator for Q-Learning with Configurable Environment

Autorzy: M. Rothmann, M. Porrmann
Opublikowane w: 2022 IEEE 33rd Internacional Conference on Application-specific Systems, Architectures and Processors (ASAP), 2022, Strona(/y) 106-114, ISBN 978-1-6654-8308-7
Wydawca: IEEE
DOI: 10.1109/asap54787.2022.00026

Requirement Engineering Challenges for AI-intense Systems Development

Autorzy: Hans-Martin Heyn; Eric Knauss; Amna Pir Muhammad; Olof Eriksson; Jennifer Linder; Padmini Subbiah; Shameer Kumar Pradhan; Sagar Tungal
Opublikowane w: WAIN@ICSE, Numer 3, 2021
Wydawca: IEEE
DOI: 10.1109/wain52551.2021.00020

Twine: An Embedded Trusted Runtime for WebAssembly

Autorzy: Jämes Ménétrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Opublikowane w: ICDE'21, Numer 37, 2021, Strona(/y) pp. 205-216, ISBN 978-1-7281-9184-3
Wydawca: Cornell University
DOI: 10.1109/icde51399.2021.00025

Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends

Autorzy: S. Zhang, O. Wallscheid and M. Porrmann
Opublikowane w: IEEE Open Journal of Industry Applications, Numer Vol. 4, 2023, Strona(/y) 188 - 214, ISSN 2644-1241
Wydawca: IEEE
DOI: 10.1109/ojia.2023.3284717

Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems

Autorzy: Marcelo Pasin, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Hans-Martin Heyn, Eric Knauss, Anum Khurshid, and Shahid Raza
Opublikowane w: Shaping the Future of IoT with Edge Intelligence - How Edge Computing Enables the Next Generation of IoT Applications, Numer September 2023, 2023, Strona(/y) 197-228, ISBN 9788770040266
Wydawca: River publishers
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An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications

Autorzy: Heyn, Hans-Martin; Knauss, Eric; Malleswaran, Iswarya; Dinakaran, Shruthi
Opublikowane w: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (03029743) vol.13975 LNCS(2023), Numer 9, 2023, Strona(/y) 206-222, ISBN 978-3-031-29786-1
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-29786-1_14

A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers

Autorzy: R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer, M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann, F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala and G. Latosinski
Opublikowane w: Shaping the Future of IoT with Edge Intelligence - How Edge Computing Enables the Next Generation of IoT Applications, Numer September 2023, 2023, Strona(/y) 179-196, ISBN 9788770040266
Wydawca: River publishers

Towards Trustworthy and Secure Internet of Things Devices : Using hardware-assisted Trusted Execution and Automated Certification

Autorzy: Khurshid, Anum
Opublikowane w: Numer 8, 2022, Strona(/y) 54, ISBN 978-91-513-1638-3
Wydawca: Acta Universitatis Upsaliensis

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