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Machine Learning for FPGAs accelerators

Machine learning, and especially deep learning, are techniques that are truly computationally demanding. This issue becomes even more critical when...

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Advancing Cloud-Network Slicing: Insights from LANCE's Testbed and ML-Driven Load Balancing

This talk will provide a comprehensive overview of the LANCE facility, a state-of-the-art ecosystem of cutting-edge technologies designed for innovations...

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CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning

The centralized control plane in Software-Defined Networking (SDN) offers significant advancements in network management capabilities. However, SDN is also susceptible...

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Setchain Algorithms for Blockchain Scalability

In this talk, I will discuss our current research on Blockchain scalability using Setchain Data-type. Blockchain scalability has been a...

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Network-Layer attacks in Blockchain Systems

In this talk, I will introduce some topics from my current research on the design of cryptocurrency networks and the...

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Sparsity, modularity, and structural plasticity in deep neural networks

There is a growing overlap between Machine Learning, Neuroscience, and Network Theory. These three disciplines create a fertile inter-disciplinary cycle:...

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From Source to Fragmentation: Unveiling Supply Chain Dynamics and OEM Customizations in Android TLS Stack

The Android ecosystem’s open-source nature allows Original Equipment Manufacturers (OEMs) to tailor the platform to their specific needs, resulting in...

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Exploring and Building Digital Twins for Quantum Key Distribution Networks

Quantum Key Distribution (QKD) networks, which use the principles of Quantum Mechanics to securely distribute cryptographic keys to remote entities,...

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Caught Between Feeling Lucky and Abusing Free Returns: How to Bootstrap Data Marketplaces

Data is the fuel of AI systems, meant to have a profound impact on society and the economy. However, bootstrapping...

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Improving resource utilization in nowadays data centers

Effective scheduling in modern data centers is crucial for optimizing resource allocation, minimizing energy consumption, and ensuring high availability, which...

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