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Submitted keynotes abstracts are listed below.

WAI

Application of Machine Learning in Smart Factory Electromagnetic Radiation Exposure Levels Monitoring

Public and occupational exposure, both at home and at work, to electromagnetic (EM) fields of complex mix of electric and magnetic...

SPiDDS

Distributed Privacy-Preserving Moderation in Decentralised Online Social Networks

The emergence of the Fediverse, an ecosystem of interconnected, decentralised online social networks makes content moderation more...

WAI

Title TBA

Abstract TBA Bio Marco Di Renzo (Fellow, IEEE) received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from...

SPiDDS

Emerging threats in online communities: from secluded places *under* the underground to crowded markets

With a society that spends more and more time online, web communities have proliferated to support a wide range of activities. In...

SPiDDS

Verification of Decentralised and Distributed Systems with Learning

Based on the current progress of automated verification for deep learning, it will be a promising research direction to explore...

SPiDDS

Internet of Things Public Key infrastructure using Reconfigurable Hardware Root of Trust

The expanding massive smart internet of things (IoTs) sensors with emerging use cases have created legitimate security...

WAI

Machine Learning-based Signal Correlation for Improved Satellite-5G Cellular Convergence Use Cases Network Quality Metrics Prediction

Prior fifth generation (5G) mobile technologies only accommodated a single use case with less complex quality of service...

WAI

Improving non-coherent communications with AI

In the frame of the evolution of wireless networks, in this talk we will focus on non-coherent communications. Combined with...

SPiDDS

Security, privacy and ethics by design in decentralized computing

In our days, decentralized computing is a marked trend. Beyond its advantages in terms of scalability and fault tolerance, it is...

WAI

Deep Learning for Physical Layer Communication: Opportunities and Challenges

Deep learning (DL) has appeared as a promising tool to re-design the physical layer by adding intelligence to the wireless...

SPiDDS

Security and Privacy-preserving Measures for Health Data from Residential Environment

The rapid growth of chronic diseases and health conditions (e.g. obesity, depression, diabetes, respiratory and musculoskeletal...

ORD

Towards a framework for real-time distributed collaboration in neuroscience

Progress in biomedical research requires studying datasets much larger than previously thought. However, the data is not easy to...

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