CLEVER’s solution fuses federated learning frameworks with edge-computing architectures, enabling distributed model training on devices, with efficient aggregation and minimal data transfer. This hybrid model addresses heterogeneity, privacy and network constraints in large-scale systems.🔁 Ideal for use-cases spanning IoT fleets,…
CLEVER implements PQC stacks directly on DPUs, providing line-rate, quantum-safe communications from IoT devices to cloud services.🌟 Explore more: www.cleverproject.eu
Photonics-based CNNs reduce latency and energy consumption while increasing processing speed, supporting scalable edge-AI deployments.🌟 Explore more: www.cleverproject.eu
Our applications process environmental sensor data locally, enabling accurate predictions and anomaly detection for smart campuses, urban infrastructures, and industrial IoT.🌟 Explore more: www.cleverproject.eu
CLEVER contributes to trustworthy AI and secure IoT systems, enabling resilient autonomous vehicles, smart factories, and connected cities.🌟 Explore more: www.cleverproject.eu
Integrating AI, photonics, and energy-efficient hardware, CLEVER designs networks that are both high-performing and environmentally responsible.🌟 Explore more: www.cleverproject.eu
CLEVER’s feedback-driven drift detection framework (LSTM + PHT + ADWIN + KSWIN) ensures AI models remain accurate under changing data conditions. 🌟 Explore more: www.cleverproject.eu
Edge-AI processing allows smart campuses and IoT systems to act on live data instantly, reducing latency and improving operational resilience.🌟 Explore more: www.cleverproject.eu
Our middleware solutions simplify deployment, integration, and management of edge AI applications, enabling fast response times and operational efficiency.🌟 Explore more: www.cleverproject.eu
CLEVER’s PQC stacks enable quantum-resilient communications while balancing client-server workloads. Ideal for adaptive IoT and enterprise deployments.🌟 Explore more: www.cleverproject.eu
