User-plane machine learning facilitates low-latency, high-throughput inference at line rate.
Yet, user planes are highly constrained environments, and restrictions are especially …

Programmable data planes offer precise control over the low-level processing steps applied
to network packets, serving as a valuable tool for analysing malicious flows in the field of …

Intelligent data-planes (IDPs) can enhance network service performance and adaptation
speed by executing one or more machine learning (ML) models directly on the served flows …

As it is happening in many fields that need efficient and effective classification of data,
Machine Learning (ML) is becoming increasingly popular in network management and …

Neural networks have been widely used in networking applications due to their high
accuracy and generalization. However, the traditional approach of collecting network …

The rise of deep learning has led to various successful attempts to apply deep neural
networks (DNNs) for important networking tasks such as intrusion detection. Yet, running …

The Internet fosters democratic principles, bringing information, services, and social contacts
to everyone's fingertips. Conversely, rampant monopolization, exploitation, and …

The emergence of programmable data planes (PDPs) has paved the way for in-network
computing (INC), a paradigm wherein networking devices actively participate in distributed …

In-network (or on-path) inference over programmable data planes allows fast and low-
overhead inference in deep neural networks. In this work, we propose an adaptive approach …

Deep learning (DL) technology has shown great promise in enhancing many facets of our
lives by improving the accuracy of everyday modern applications, including but not limited to …