CLEVERβs 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.
π Ideal for use-cases spanning IoT fleets, smart infrastructure, and autonomous systems.
π Explore more: www.cleverproject.eu