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Lossy Network Correlated Data Gathering with High-Resolution Coding

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Localizing the Source of an Epidemic Using Few Observations

Brunella Marta Spinelli

Localizing the source of an epidemic is a crucial task in many contexts, including the detection of malicious users in social networks and the identification of patient zeros of disease outbreaks. The difficulty of this task lies in the strict limitation ...

EPFL2018

rDAN: Toward robust demand-aware network designs

Andreas Loukas

We currently witness the emergence of interesting new network topologies optimized towards the traffic matrices they serve, such as demand-aware datacenter interconnects (eg, ProjecToR) and demand-aware peer-to-peer overlay networks (eg, SplayNets). This p ...

2018

Mapping large organizations

Dario Rodighiero

Today organizations are more than ever complex systems. They are large, ramified, distributed, and intertwined so that their organic structure seems like a tangle of activities. Day by day individuals contribute to keep these structures alive with their wo ...

2017

MRCZ - A file format for cryo-TEM data with fast compression

Henning Paul-Julius Stahlberg

The introduction of fast CMOS detectors is moving the field of transmission electron microscopy into the computer science field of big data. Automated data pipelines control the instrument and initial processing steps which imposes more onerous data transf ...

Elsevier BV2017

Alignment and Assembly

Lyudmila Yartseva

Over recent years, many large network datasets become available, giving rise to novel and valuable applications of data mining and machine learning techniques. These datasets include social networks, the structure of the Internet, and protein-interaction n ...

EPFL2017

The data processing inequality and environmental model prediction

Steven Vincent Weijs

Prediction in environmental systems, such as hydrological streamflow prediction, is a challenging task. Although on a small scale, many of the physical processes are well described, accurate predictions of macroscopical (e.g. catchment scale) behavior with ...

2014

Adaptation, Learning, and Optimization over Networks

Ali H. Sayed

This work deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and ...

NOW Publishers2014

Data Compression via Logic Synthesis

Giovanni De Micheli, Andreas Peter Burg, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù

Nowadays, most software and hardware applications are committed to reduce the footprint and resource usage of data. In this general context, lossless data compression is a beneficial technique that encodes information using fewer (or at most equal number o ...

2014

Rate allocation and optimized decoding in inter-session network coding

Eirina Bourtsoulatze

Recent advances in data processing and communication systems have led to a continuous increase in the amount of data communicated over today’s networks. These large volumes of data pose new challenges on the current networking infrastructure that only offe ...

EPFL2013

Data compression to define information content of hydrological time series

Marc Parlange, Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) inf ...

Copernicus Gesellschaft Mbh2013