Youtubed activities
Feb 2025
07
Feb
Particle filter based statistical inference for positioning and tracking applications
The lecture will provide a comprehensive summary of statistical inference using particle filters for positioning and tracking applications. The lecture will cover the motivation behind [...]
07
Feb
The RESTART Project: focus on Network Programmability and Orchestration
In the last decade, software has been playing an increasingly relevant role in communication networks, bringing advanced programmability features to network infrastructure management, and enabling [...]
05
Feb
A functioning 5G core network deployed on top of a standard Kubernetes cluster
In this seminar, we will show how to deploy a functioning 5G core network on top of a standard Kubernetes cluster. This talk will start [...]
Jan 2025
31
Jan
Enhancing Network Efficiency with eBPF/XDP Technology
eBPF (Extended Berkeley Packet Filter) and XDP (eXpress Data Path) have revolutionized the way we interact with the Linux kernel, enabling developers to run custom, [...]
22
Jan
Quantum advantage in distributed computing
In recent years many advances have been made in the field of quantum networks and even bigger improvements are expected in the foreseeable future: tasks [...]
17
Jan
Sharp phase transition in discrete and continuum percolation.
This talk consists of simple example of percolation models: Bernoulli bond and site percolation on lattice and Poisson Boolean model on Euclidean space. In these [...]
Dec 2024
20
Dec
Git happens: from first commit sadness, to CI/CD greatness
Git is a developer’s best friend… until it isn’t. Whether it’s an accidental git push --force, a mysterious merge conflict or the feared “detached HEAD” state [...]
11
Dec
Line Cox Processes Part II: Large Scale Automotive Radar Networks and Statistics of Successive Successful Detection
Note: Part I of this talk was presented at LINCS in 2023 (www.lincs.fr/events/seminar-talk-by-gourab-ghatak/). In this talk, first, we revisit the newly introduced model -the binomial [...]
06
Dec
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks
Federated Learning (FL) enables distributed clients to collaboratively train models without exposing their private data. However, it is difficult to implement efficient FL due to [...]
04
Dec
Handover frequency in dynamic terrestrial network
In this work we shall consider a dynamic wireless communication model on real line or plane. Let us assume that a user located at origin, [...]