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Author

Paolo Bellavista

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Review Open access 2026

Latency-Optimized IoT Communications Through Information-Centric Caching: A Survey

This paper aims to survey the integration of Information-Centric Networking (ICN) with the Internet of Things (IoT), considering various aspects, including the role of Named Data Networking (NDN) caching schemes in mitigating latency in IoT use cases. Current IP-based protocols may not adequately meet IoT system requir...

M. Naeem, Ikram Ud Din, Ahmad S. Almogren et al. · 0 citations
Conference Open access Aug 2026

Reinforcement Learning-based Resource-Aware Adaptive Inference for Heterogeneous Split Federated Learning

Heterogeneous Split Federated Learning (HSFL) is a privacy-preserving technique for devices in different edge settings. However, the present methods adopt a static model partition that cannot adapt to network conditions, resulting in longer inference latency and higher communication costs. To address this issue, we pro...

M. Farooq, Paolo Bellavista, Hafiza Rohma Ahmed · 0 citations
Open access 2026

6HRRT: 6TiSCH Scheduling for Supporting Highly-Reliable Real-Time Mobile IoT Applications

This work thoroughly investigates an alternative option, less covered in the existing literature, based on the IETF 6TiSCH architecture and short-range communications, and proposes Highly-Reliable Real-Time Scheduling for 6TiSCH (6HRRT), a novel algorithm designed for mobile IIoT scenarios.

M. Pettorali, Francesca Righetti, Paolo Bellavista et al. · 0 citations
Preprint Aug 2026

LYRA: Label-Free Structural Synchronization and Resource Allocation for UAV Edge Networks

A joint model update scheduling and resource allocation framework, aiming to maximize long-term semantic fidelity and resource efficiency of UAV edge intelligence systems, and a Lyapunov-guided discrete reinforcement learning algorithm that performs action space dimensionality reduction and transforms constraints into...

Feng He, Alireza Furutanpey, Paolo Bellavista et al. · 0 citations
Jul 2026

A Cloud Continuum Research Infrastructure for Distributed CPS Experimentation

The proposed approach separates the research-infrastructure layer, which exposes and manages distributed resources, from the application layer, where Cyber-Physical workflows are organized according to an Edge-Fog-Cloud pattern in which placement, timing, and data provenance are treated as first-class experimental conc...

Fabio Orazio Mirto, Giuseppe Tricomi, L. D’Agati et al. · 0 citations

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