Activities

In this presentation, we consider the problem of cross-chain transactions where parties that do not trust each other safely exchange digital assets across blockchains. Open [...]

Computational neuroscience features a variety of stochastic network models where both the input and the output of each neuron are point processes. In these models, [...]

Poisson point processes are one of the most common point processes studied in stochastic geometry. Adding a Voronoi tessellation to a Poisson point process leads [...]

Seminar by: * Razanne Abu-aisheh (PhD, Inria+NBLF) * Gabriele Castellano (Postdoc, Inria) * Camila Fernandez (PhD, Sorbonne+NBLF)

Dear all, The Internet Measurement reading group will meet again on June 2nd. In this session Emeline Maréchal (ULiège) will present « ISP Probing Reduction with Anaximander ». [...]

We consider a network of prosumers trading electricity under (i) a centralized market design, seen as the benchmark, formulated as an optimization problem, and (ii) [...]

By default, in most programming languages, input/output operations are blocking: the execution flow of the program is stopped while waiting for external data from the [...]

The principal tenet of C-RAN is the softwarization of the base-band signal processing, which enables the sharing of compute resources among multiple radio heads. Resource [...]

We present the work of Mairesse and Prabakhar on the existence of fixed points for infinite tandems of queues with i.i.d. service times. We will [...]

Dear all,  The Internet Measurement reading group will meet again on May 12th. In this session we will discuss Internet aboard trains, planes and in [...]

Seminar by: Stefano Iellamo (Engineer TP) = Wireless Networks Yibo Quan (PhD TP) = Wireless Networks Maxime Raynal (PhD Nokia) = Graphs, machine learning, algorithmics [...]

This session will be devoted to a non-exhaustive view of profiling techniques that can be useful in Python. While profiling is absolutely no substitute for [...]

Caching content over CDNs or at the network edge has been solidified as a means to improve network cost and offer better streaming experience to [...]

Exponential families are parametric sets of probability distributions that arise in many applications. These include well-known univariate distributions (such as the binomial, Poisson, geometric, exponential, [...]

Pattern matching is a powerful tool used on many kinds of data as long as they stand on a linear support such as texts or [...]

Dear all,  The Internet Measurement reading group will meet again on April 21st. We will talk about the following paper : Reduce, Reuse, Recycle: Repurposing Existing [...]

Seminar by: - Maxime Mouchet (Postdoc UPMC) = Network Metrology - Matthieu Gouel (PhD UPMC) = Network Metrology - Pierre Civit (PhD UPMC) = Blockchain [...]

There is a well-known saying in the supervised machine learning community: "garbage in, garbage out". The performance of a supervised learning algorithm depends critically on [...]

Reconfigurable intelligent surfaces (RISs) have recently emerged as the new wireless communication research frontier with the goal of realizing metamaterial-coated smart and reconfigurable radio propagation [...]

Dear all,  Next Wednesday (31/03/2021) will take place the first Internet Measurement reading group ! We will talk about the following paper : Classification of Load [...]

In this work, we consider a heterogeneous cellular network wherein multiple small cell millimeter wave (mmW) base stations (BSs) coexist with legacy sub-6GHz macro BSs. [...]

The threading library permits programs to execute several things at the same time on the same machine. This talk will review the basics of the [...]

This time, during our usual seminar time-slot, the whole LINCS community is encouraged to participate in a remote collective brainstorming to elaborate on the organizational [...]

Ensemble methods are popular machine learning techniques that combine the predictions of multiple agents to improve their accuracy and robustness. We will introduce these methods, [...]

Blockchains systems evolve in complex environments that mix classical patterns of faults with selfish, rational or irrational behaviours typical of economic systems. During the presentation [...]

Here the abstract and bibliography provided by Professor Mazumdar for his talk: http://www.lincs.fr/wp-content/uploads/2021/01/FCLT_MFE.pdf 

Containers are one of the fundamentals of cloud native application development. Popularized by Docker and now widely adopted by the cloud computing industry, containers paved [...]

Computer scientists seek to understand what can be automated, but what do we know about automating our own work? Can we outsource our own research [...]

In 1948 Shannon published the article that defines modern information theory. For this reading group, we will briefly remind the first part of the article [...]

One of the very important technologies for 5G is multi-user massive MIMO. It has the potential to deliver excellent performance if used well. However, it [...]

In 1948 Shannon published the article that defines modern information theory. For this reading group, we will briefly remind the first part of the article [...]

Please, find here the abstract and bibliography provided by Professor Mazumdar for his talk: http://www.lincs.fr/wp-content/uploads/2021/01/Bidding_LINCS_Jan2021.pdf Here, Professor Mazumdar's webpage with info on his academic path: [...]

According to its website, fastcore is a set of "Python goodies to make your coding faster, easier, and more maintainable". "Fastcore [adds] to Python features [...]

Edit distances quantify how dissimilar two strings are by counting the minimum number of edit operation (insertion, deletion, etc) to transform one string into the [...]

Transformers architectures have been dominating the benchmarks of most Natural Language Processing tasks for the past 3 years with new models popping up every week, [...]

Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, [...]

Bayesian optimization proves to be useful when our goal is to i) optimize an unknown function, that we can learn by sampling ii) our sample [...]

In this talk I will present the vision of self-adjusting networks: communication networks whose physical topology adapts to the traffic pattern it serves, in a [...]

Building a modern, scalable and fault-tolerant system in Python has never been so easy and enjoyable. Here is some takeaways of building such system in [...]

Multi-winner voting rules aggregate the opinions of several agents and yield a set of several options. We will give an overview of the classic rules [...]

Reliable communication is a fundamental primitive in distributed systems prone to Byzantine (i.e. arbitrary, and possibly malicious) failures to guarantee integrity, delivery, and authorship of [...]

In many scientific fields, studied data have an underlying graph or manifold structure such as communication networks (whether social or technical), knowledge graphs or molecules. [...]

The LINCS community is encouraged to participate in an exceptional Wednesday meeting with Fabien Mathieu to check, discuss and exchange about a new tool to share [...]

The socket library permits programs that execute on various machines over a network to communicate. This talk will review the basics of the Python socket [...]

To meet carbon reduction goals in Europe but worldwide too, a large number of renewable distributed energy resources (DER) still need to be deployed. Aiming [...]

The notion of Laplacian of a graph can be generalized to simplicial complexes and hypergraphs. This notion contains information on the topology of these structures. [...]

Edge Computing exploits computational capabilities deployed at the very edge of the network to support applications with low latency requirements. Such capabilities can reside in [...]

In this talk, we are investigating a selection of problems related to the process of voting on a (social) network. Among other problems, I am [...]

In many fields of interest, Markov processes are a primary modelisation tool for random processes. Unfortunately it is often necessary to use very large or [...]

Machine learning (ML) algorithms are designed to learn models that have the ability to take decisions or make predictions from data, in a large panel [...]

Critical services in 5G networks, denoted by Ultra-Reliable Low-Latency Communication (URLLC), allow the existence of many promising applications such as factory automation, remote surgery and [...]