Tag edgecomputing

Use case: University of Oulu Smart Campus

Use case: University of Oulu Smart Campus. Environmental sensors tested automated concept drift handling at the edge.   🌟 Follow us on LinkedIn!  🌟 Check the updates from the website: www.cleverproject.eu  🌟 You can read the post on our website:…

Why Edge Matters for Smart Environments?

Why edge > cloud for smart environments? ⚡ Lower latency ⚡ Reduced bandwidth load ⚡ Better scalability + fault tolerance  🌟 Follow us on LinkedIn!  🌟 Check the updates from the website: www.cleverproject.eu  🌟 You can read the post on our website:…

CLEVER’s concept drift

Concept drift = when real-world sensor data changes, breaking AI models. Our solution: feedback-driven drift detection at the edge.  🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu  🌟 You can read the post on our website:…

Cloud–edge continuum

The cloud–edge continuum is key for resilient smart environments. We present a containerised edge architecture supporting:  This approach strengthens data-driven municipal services in dynamic urban environments.  🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu  🌟 You…

Wrap-up with CLEVER

Securing the future of distributed computing requires a holistic approach. The CLEVER project has integrated advanced Edge-AI capabilities with quantum-resilient security to protect the edge-cloud continuum. Our work demonstrates a complete stack: 📍 AI-Driven Applications & Middleware: Enabling efficient, low-latency…

Future edge-cloud networks

Future edge-cloud networks must withstand quantum attacks. PQC stacks enable secure federated workloads and AI processing at scale.  🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu  🌟 You can read the post on our website: https://lnkd.in/d4MB_HhM 🌟…

How do we secure the edge-cloud continuum in the quantum era? 

We implemented PQC stacks using hardware accelerators at data center line rates. This enables quantum-resilient communication from IoT nodes to the cloud, integrating confidential computing and software-defined perimeters (SDPs).  🌟 Follow us on LinkedIn! 🌟 Check the updates from the website:…

🧠 AI-Driven Applications for Edge Use Cases 

Deliverables D5.1 and D5.2 focus on the design, implementation, and optimization of AI-driven applications tailored for specific edge computing use cases. These applications leverage advanced machine learning techniques to process data locally, enabling real-time decision-making and reducing the need for…