Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe
Clever Project Publication: Programmable Packet-Optical Networks using Data Processing Units (DPUs) with Embedded GPU
Abstract :Data Processing Units (DPUs) with embedded GPU have the potential to rev- olutionize optical networks functionalities at the edge. Use cases are presented for optical data monitoring with local AI processing and embedded security. https://zenodo.org/records/11030207
Clever Project Publication: AI-enabled Resource Optimization in Critical Computing Infrastructures
Abstract :The seamless orchestration of resources across the edge-cloud continuum has become a cornerstone in modern critical computing infrastructures. Artificial Intelligence (AI) plays a pivotal role in enabling the fast and efficient management of diverse and demanding workloads. However, maintaining data security, while optimizing resources can be a significant challenge especially in multi-domain environments. AI…
Clever Project Publication: Towards trust-based data weighting in machine learning
Abstract :In distributed environments, data for Machine Learning (ML) applications may be generated from numerous sources and devices, and traverse a cloud-edge continuum via a variety of protocols, using multiple security schemes and equipment types. While ML models typically benefit from using large training sets, not all data can be equally trusted. In this work,…
Clever Project Publication: First Line-rate End-to-End Post-Quantum Encrypted Optical Fiber Link Using Data Processing Units (DPUs)
Abstract: We demonstrate the first 92.3-Gbits/s line-rate, end-to-end post-quantum cryptography optical fiber link based on HW accelerators and processing offloading. © 2024The Author(s) https://zenodo.org/records/10932316
Clever Project Publication: Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches
Abstract: In-network function offloading represents a key enabler of the SDN-based data plane programmability to enhance network operation and awareness while speeding up applications and reducing the energy footprint. The offload of network functions exploiting machine learning and artificial intelligence has been recently considered with intermediate solutions such as feature extraction acceleration and mixed architectures…