Workshops and Tutorials

All Workshops and Tutorials take place on Nov 17, 2026.

Workshops:

Workshop 1: Research and Innovation in Scalable and Efficient Deep Learning (RISE-DL 2026)

As deep learning models continue to grow in scale and complexity, efficiency and sustainability must become first-class objectives alongside performance. Yet progress in these areas remains fragmented across the algorithmic, hardware, and systems communities, limiting the development of end-to-end solutions for real-world deployment.

The RISE-DL (Research and Innovation in Scalable and Efficient Deep Learning) workshop addresses this gap by providing a focused forum for research on efficient and scalable deep learning across heterogeneous computing environments, ranging from IoT and edge devices to cloud and HPC infrastructures. The workshop welcomes contributions spanning model design, training, inference, and deployment, including training techniques for long-term sustainability, scalable training of generative AI, fast inference and serving techniques, on-device and continual learning, data-centric approaches to efficient deep learning, benchmarking and evaluation for efficiency and sustainability, and distributed learning paradigms across the edge–cloud continuum.

Organizers:

  • Alessio Orsino University of Calabria, Italy
  • Riccardo Cantini University of Calabria, Italy
  • Domenico Talia University of Calabria, Italy
  • Young D. Kwon Samsung AI Center, United Kingdom
  • Hong Jia University of Auckland, New Zealand

Workshop website: https://rise-dl.github.io/2026/

Workshop 2: Workshop on Quantum-Safe and Intelligent Security for IoT and Cyber-Physical Systems (QSIoT 2026)

QSIoT 2026 focuses on security for Internet of Things (IoT) and cyber-physical systems (CPS) under two converging technological shifts: the migration towards post-quantum and crypto-agile security infrastructures, and the increasing use of intelligent, data-driven, and learning-enabled components in IoT/CPS deployments. The workshop addresses both the use of intelligent methods for improving IoT/CPS security and the security risks introduced by intelligent IoT/CPS components themselves.

The workshop scope includes post-quantum migration, lightweight and crypto-agile security protocols, secure authentication and key management, secure communication for constrained and heterogeneous devices, AI/ML-enabled intrusion and anomaly detection, security of learning-enabled IoT/CPS, privacy-preserving and federated security mechanisms, secure updates, remote attestation, security testbeds, benchmarking, and real-world deployments. QSIoT is intended to bring together researchers and practitioners from IoT security, CPS security, post-quantum cryptography, edge intelligence, applied cryptography, and security engineering.

Organizers:

  • Dr. Muhammad Shahbaz Khan, Aston University, UK
  • Dr. Jawad Ahmad, Prince Mohammad Bin Fahd University, Saudi Arabia
  • Dr. Nikolaos Pitropakis American, College of Greece, Greece
  • Dr. Shahid Latif, University of the West of England, UK
  • Dr. Samara Mayhoub, Aston University, UK
  • Dr. Donghua Jiang Sun, Yat-sen University, China

Workshop website: https://sites.google.com/view/qsiot2026/home

Workshop 3: 3rd International Workshop on Longevity in IoT Systems (LongevIoT 2026)

The premature aging of IoT systems is one of the most challenging topics that need to be addressed to enable widespread usage. Both hardware and the software that is deployed on devices from small sensor nodes to edge devices or the cloud need to be considered holistically, such that deployment lifetimes can be counted in decades not years. With ever changing communication protocols, company-specific software platforms and quickly deprecated hardware components, IoT is at the forefront of uncertain futures, and these technical challenges need to be solved for a sustainable future. In this workshop, we focus on issues arising from the brittle nature of current IoT systems.

Organizers:

  • Boris Sedlak, TU Wien, Austria
  • Malte Josten, University of Duisburg-Essen, Germany
  • Peter Zdankin, University of Duisburg-Essen, Germany

Workshop website: https://longeviot.github.io/2026/

Workshop 4: Security Command, Continuous Threat Detection and Vulnerability Mitigation for IoT Ecosystems (SCC4IoT 2026)

SCC4IoT 2026 brings together researchers, cloud-security engineers, IoT architects, operators, students, and public-sector practitioners to advance continuous security across heterogeneous IoT, edge, cloud, container, and cyber-physical environments. The workshop connects research with operational practice across four linked capabilities: asset and exposure visibility, risk-based prioritisation and remediation, application-vulnerability discovery, and anomalous-behaviour investigation.

Organizer:

  • Muhammad Zunnurain Hussain, Bahria University Lahore Campus, Pakistan

Workshop website: https://scc-4-io-t-2026-workshop-website.vercel.app

Workshop 5: The 1st International Workshop on Federated Learning at the Orbital Edge: Intelligence across Space, Air and Ground (OrbitFL 2026)

Edge intelligence is expanding beyond terrestrial networks. Increasingly affordable and capable satellites, high-altitude platforms, and unmanned aerial vehicles are transforming the Internet of Things into a three-dimensional space–air–ground infrastructure in which sensing, training, and inference happen progressively closer to the data source. Low Earth Orbit constellations alone are projected to grow from roughly 10,000 active satellites in 2024 to an estimated 100,000 by 2030, and an expanding share of these nodes will process data on board rather than relaying it to terrestrial stations.

Federated and distributed learning offer a natural paradigm for this setting: exchanging model updates instead of raw observations preserves data locality and reduces traffic over scarce, low-bandwidth links. Moving this paradigm into orbit, however, introduces constraints that terrestrial deployments rarely face at the same intensity. The network topology changes continuously as satellites move, ground contacts are short and intermittent, on-board power varies with solar illumination and eclipse cycles, hardware is heterogeneous and must tolerate radiation effects, and the data collected across regions and sensors is inherently non-IID and subject to temporal drift.

OrbitFL’26 brings together researchers from the IoT, edge AI, satellite systems, and remote-sensing communities to address these challenges in a dedicated venue within IoT 2026. We welcome contributions spanning theory, systems design, and real-world applications across the full space–air–ground continuum.

Organizers:

  • Mark Adrian Gambito, University of Messina, Italy
  • Kanaka Sai Jagarlamudi, Western Sydney University, Australia
  • Nan Yang, Western Sydney University, Australia

Workshop website: https://orbitfl.github.io/

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Tutorials:

Tutorial 1: Applying Post-Quantum Cryptography and Quantum Key Distribution for Secure 6G Networks

The Internet of Things is rapidly becoming the largest attack surface of modern communication infrastructures. Billions of resource-constrained devices, sensors, actuators, wearables, vehicles and industrial controllers, exchange sensitive data over wireless networks that are expected to remain in operation for a decade or more. At the same time, the rise of quantum computing poses a fundamental threat to the classical public-key cryptography (RSA, ECC) on which today’s IoT security protocols rely. Data harvested from IoT deployments today can be stored and decrypted retroactively once sufficiently powerful quantum computers become available (“harvest-now, decrypt-later” attacks), making quantum-safe security an urgent concern for long-lived IoT systems.

Two complementary technologies address this threat: Post-Quantum Cryptography (PQC), which provides quantum-resistant cryptographic algorithms implementable in software on constrained devices, and Quantum Key Distribution (QKD), which uses quantum mechanics to establish provably secure keys over the network backbone. As IoT connectivity increasingly converges with beyond-5G and 6G network architectures, understanding how PQC and QKD can be integrated into device registration, authentication and communication procedures is of direct and growing interest to the IoT research and practitioner community.

This tutorial provides a comprehensive and thorough overview of recent advances in PQC and QKD frameworks and links their capabilities to the IoT/6G ecosystem, including proper algorithm selection for constrained devices, establishing quantum channels, ongoing standardization efforts, and hands-on demonstrations of quantum-safe device communication and authentication.

Format and duration: Half-day tutorial (approximately 3 hours plus breaks), combining lecture-style presentation with live, step-by-step demonstrations.

Content and schedule (180 minutes total):

  • Part 1 – Introduction (30 minutes). Motivation and scope: IoT and 6G under quantum threats. The rapid development of 6G networks aims to deliver unprecedented connectivity, speed and support for emerging technologies such as the Internet of Things and autonomous systems. With the rise of quantum computing, quantum threats could break the classical encryption methods protecting these systems, posing significant risks to the security and integrity of IoT communications. This part frames the problem and introduces quantum-resistant cryptography and QKD as the two pillars for safeguarding critical IoT/6G infrastructure.
  • Part 2 – Overview of PQC and QKD (60 minutes)
    • PQC algorithm families (40 minutes): lattice-based cryptography (e.g., NTRU, Kyber), code-based cryptography (e.g., McEliece), multivariate polynomial cryptography (e.g., Rainbow, HFE) and hash-based signatures (e.g., SPHINCS+), with attention to their suitability for resource-constrained IoT devices.
    • QKD fundamentals (10 minutes): quantum key exchange, eavesdropping detection, the BB84 protocol, and current practical limitations such as cost and communication distance.
    • PQC and QKD integration into IoT/6G architectures (10 minutes).
    • Standardization landscape (10 minutes): ongoing efforts to include PQC and QKD in next-generation network standards and what they mean for IoT deployments.
  • Part 3 – Live demonstrations (70 minutes)
    • Testbed setup and installation (30 minutes) step-by-step integration of PQC within device communication and registration procedures. Quantum-secure device/UE authentication.
    • QKD simulation (30 minutes): secure key exchange implemented and executed within a quantum simulation environment.
  • Part 4 – Research challenges and future directions (20 minutes): gap analysis (10 min), open challenges (5 min) and future directions (5 min) for quantum-safe IoT security.

Learning outcomes. By the end of the tutorial, attendees will be able to: (1) explain the quantum threat model for long-lived IoT deployments; (2) compare the main PQC algorithm families and select appropriate algorithms for constrained devices; (3) describe how QKD works and where it fits in the IoT/6G network backbone; (4) understand how PQC and QKD are being integrated into 6G architectures and standardization; and (5) reproduce the demonstrated quantum-safe device communication, registration and authentication procedures using the provided testbed and simulation tools.

Presentation style. A mix of slide-based lectures for the foundational parts and live, step-by-step hands-on demonstrations for the practical parts, with interactive Q&A throughout.

Prior knowledge required. None. The tutorial is designed for participants with no prerequisite knowledge; basic familiarity with networking or security concepts is helpful but not required.

Material: The demonstrations run on an open, software-based testbed: an open-source 5G/6G core and RAN stack extended with post-quantum cryptographic libraries (e.g., NIST-selected PQC algorithms such as Kyber and SPHINCS+ via open-source implementations), together with an open-source quantum network simulation environment for the QKD demonstration. All software used in the demonstrations is openly accessible to participants under their respective open-source licences, and the presenters will share the demonstration setup instructions, configuration files and slides with attendees.

Participant equipment: Participants do not need to bring anything. The demonstrations are presented live by the instructors, and no prerequisite installation is required. Participants who wish to follow along or reproduce the demos afterwards may optionally bring a laptop capable of running Linux virtual machines or containers.

Audience: The tutorial targets researchers, PhD students, engineers and practitioners in IoT, networking, telecommunications and cybersecurity who want to understand and apply quantum-safe security techniques. Quantum-safe security is also the subject of active standardization work and of growing industrial interest in the telecom and IoT sectors, which is reflected in a steadily growing body of publications and dedicated workshops. The combination of an accessible introduction, no prerequisites and hands-on demonstrations makes the tutorial attractive both to newcomers and to attendees already working on IoT security.

Presenters:

  • Engin Zeydan: Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Services as Networks (SAS) Research Unit, Parc Mediterrani de la Tecnologia (PMT), Barcelona, Spain.
  • Abdullah Aydeger: Florida Institute of Technology (FIT), College of Engineering and Science, Department of Electrical Engineering and Computer Science, Melbourne, FL, USA.

Tutorial 2: Building Secure and Scalable IoT Solutions on AWS: A Hands-On Edge-to-Cloud Tutorial

This tutorial offers a practical introduction to building secure, scalable, observable, and cost-aware Internet of Things solutions on Amazon Web Services. It connects core IoT architecture concerns device connectivity, identity, data ingestion, compute, storage, monitoring, reliability, and security with guided cloud exercises that participants can reproduce after the conference. The tutorial is designed for researchers, educators, postgraduate students, developers, and practitioners who understand basic IoT concepts but want structured experience translating an IoT use case into a working edge-to-cloud deployment. The learning design is informed by the AWS Academy Cloud Foundations curriculum, which covers cloud concepts, security, networking, compute, storage, databases, architecture, monitoring, and scaling.

Format and duration: Half-day tutorial (approximately 4 hours plus breaks), combining Interactive lecture and demos.

Hands-On Technical Scenario: A distributed environmental-monitoring system sends readings from simulated edge devices to a cloud endpoint. Participants must design the cloud foundation, isolate resources, select compute and
data services, enforce access controls, and establish monitoring for availability and unusual behaviour.

The practical flow will include:

  • Creating or reviewing a secure network foundation.
  • Launching a basic application endpoint or serverless processing component.
  • Persisting sample telemetry in an appropriate AWS data service.
  • Applying identity and access controls to users and resources.
  • Configuring monitoring and interpreting operational signals.
  • Reviewing the design against Well-Architected principles and IoT-specific risks.

Learning outcomes: By the end of the tutorial , participants will be able to: (1) Evaluate architecture choices using security, reliability, performance, cost, and sustainability criteria, (2) Explain how cloud and edge components cooperate in a modern IoT architecture, (3) Map IoT functional requirements to appropriate AWS compute, networking, storage, and database services, (4) Apply the AWS shared-responsibility model and basic IAM controls to an IoT deployment, (5) Design a virtual private cloud structure for a small IoT application, (6) Deploy a simple telemetry-processing workload using managed or serverless compute, (7) Store and retrieve IoT-generated data using a suitable storage or database option, and (8) Configure basic monitoring, alarms, and scaling concepts for an IoT service.

Audience: IoT researchers, graduate students, university educators, cloud and software engineers, solution architects, security professionals, and industry delegates seeking practical AWS experience.

Prerequisites and equipment: General IT and networking knowledge is recommended. Prior AWS experience is not required. Participants should bring a laptop capable of running a modern browser and should complete any account or learner-lab onboarding instructions circulated before the event.

Presenter:

  • Muhammad Zulkifl Hasan: Faculty of Information & Technology, University of Central Punjab (UCP), Lahore, Pakistan.