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20152026
most citedMachine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

301 citations · 1.5k across the 70 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.LG2021★ 6 cited

Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks

Peyman Tehrani, Francesco Restuccia, Marco Levorato

Next Generation (NextG) networks are expected to support demanding tactile internet applications such as augmented reality and connected autonomous vehicles. Whereas recent innovat…

cs.NI2021

Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation

Leonardo Bonati, Pedram Johari, Michele Polese +16

Colosseum is an open-access and publicly-available large-scale wireless testbed for experimental research via virtualized and softwarized waveforms and protocol stacks on a fully p…

cs.CR2021

AKER: A Design and Verification Framework for Safe andSecure SoC Access Control

Francesco Restuccia, Andres Meza, Ryan Kastner

Modern systems on a chip (SoCs) utilize heterogeneous architectures where multiple IP cores have concurrent access to on-chip shared resources. In security-critical applications, I…

cs.CR2021★ 18 cited

Isadora: Automated Information Flow Property Generation for Hardware Designs

Calvin Deutschbein, Andres Meza, Francesco Restuccia +2

Isadora is a methodology for creating information flow specifications of hardware designs. The methodology combines information flow tracking and specification mining to produce a…

cs.LG2021★ 1 cited

The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting

Mauro Piva, Gaia Maselli, Francesco Restuccia

Millions of RFID tags are pervasively used all around the globe to inexpensively identify a wide variety of everyday-use objects. One of the key issues of RFID is that tags cannot…

cs.NI2021

SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing

Davide Callegaro, Marco Levorato, Francesco Restuccia

Edge computing enables Mobile Autonomous Systems (MASs) to execute continuous streams of heavy-duty mission-critical processing tasks, such as real-time obstacle detection and navi…

cs.NI2021★ 32 cited

IEEE 802.11bf: Toward Ubiquitous Wi-Fi Sensing

Francesco Restuccia

Wi-Fi is among the most successful wireless technologies ever invented. As Wi-Fi becomes more and more present in public and private spaces, it becomes natural to leverage its ubiq…

cs.NI2021

Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification

Salvatore D'Oro, Francesco Restuccia, Tommaso Melodia

Thanks to its capability of classifying complex phenomena without explicit modeling, deep learning (DL) has been demonstrated to be a key enabler of Wireless Signal Classification…

eess.SP2021★ 298 cited

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia

Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and spee…

cs.NI2021★ 11 cited

SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography

Leonardo Bonati, Salvatore D'Oro, Francesco Restuccia +2

Fifth-generation (5G) systems will extensively employ radio access network (RAN) softwarization. This key innovation enables the instantiation of "virtual cellular networks" runnin…

cs.CR2021★ 11 cited

What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things

Lorenzo Ghiro, Francesco Restuccia, Salvatore D'Oro +4

The use of the term blockchain is documented for disparate projects, from cryptocurrencies to applications for the Internet of Things (IoT), and many more. The concept of blockchai…