97 citations · 203 across the 35 of their papers we have counts for
8 papers · 1 filter
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Abhishek Hazra, Andrea Morichetta, Ilir Murturi +5
Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively…
Learning-driven Zero Trust in Distributed Computing Continuum Systems
Ilir Murturi, Praveen Kumar Donta, Victor Casamayor Pujol +2
Converging Zero Trust (ZT) with learning techniques can solve various operational and security challenges in Distributed Computing Continuum Systems (DCCS). Implementing centralize…
Equilibrium in the Computing Continuum through Active Inference
Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta +1
Computing Continuum (CC) systems are challenged to ensure the intricate requirements of each computational tier. Given the system's scale, the Service Level Objectives (SLOs) which…
Blockchain-based Zero Trust on the Edge
Cem Bicer, Ilir Murturi, Praveen Kumar Donta +1
Internet of Things (IoT) devices pose significant security challenges due to their heterogeneity (i.e., hardware and software) and vulnerability to extensive attack surfaces. Today…
Active Inference on the Edge: A Design Study
Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta +1
Machine Learning (ML) is a common tool to interpret and predict the behavior of distributed computing systems, e.g., to optimize the task distribution between devices. As more and…
Designing Reconfigurable Intelligent Systems with Markov Blankets
Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta +1
Compute Continuum (CC) systems comprise a vast number of devices distributed over computational tiers. Evaluating business requirements, i.e., Service Level Objectives (SLOs), requ…
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
Jinglong Guan, Qiyang Zhang, Ilir Murturi +3
As a driving force in the advancement of intelligent in-orbit applications, DNN models have been gradually integrated into satellites, producing daily latency-constraint and comput…
Federated Domain Generalization: A Survey
Ying Li, Xingwei Wang, Rongfei Zeng +4
Machine learning typically relies on the assumption that training and testing distributions are identical and that data is centrally stored for training and testing. However, in re…