Publications related to On the Throughput of Ad-Hoc Networks using Connectivity Graphs

Localizing Traffic Differentiation

Pavlos Nikolopoulos, Muhammad Abdullah, Zeinab Shmeis

Network neutrality is important for users, content providers, policymakers, and regulators interested in understanding how network providers differentiate performance. When determining whether a network differentiates against certain traffic, it is importa ...

2023

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices

Felix Schürmann, Bruno Ricardo Da Cunha Magalhães

Graph-based representations underlie a wide range of scientific problems. Graph connectivity is typically represented as a sparse matrix in the Compressed Sparse Row format. Large-scale graphs rely on distributed storage, allocating distinct subsets of row ...

2020

A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system

Patric Hagmann, Stephanie Clarke

A brief session of rightward prismatic adaptation (R-PA) has been shown to alleviate neglect symptoms in patients with right hemispheric damage, very likely by switching hemispheric dominance of the ventral attentional network (VAN) from the right to the l ...

2020

FCR: Fast and Consistent Controller-Replication in Software Defined Networking

Jean-Yves Le Boudec, Eleni Stai, Mia Primorac, Maaz Mashood Mohiuddin

We consider the problem of coordination among replicated SDN controllers, where the challenge is to ensure a consistent view of the network while reacting to network events in a prompt manner. Existing solutions are either consensus-based, which achieve co ...

2019

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Patrick Thiran, Sébastien Christophe Henri

In recent years, multipath routing, i.e., employing several paths simultaneously, has emerged as an efficient way to provide significant throughput gains in local networks. This has been observed both with technologies that are not subject to interference, ...

2018

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Patrick Thiran, Sébastien Christophe Henri

In recent years, multipath routing, i.e., employing several paths simultaneously, has emerged as an efficient way to provide significant throughput gains in local networks. This has been observed both with technologies that are not subject to interference, ...

IEEE2018

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

Analytical transport network theory to guide the design of 3-D microstructural networks in energy materials: Part 1. Flow without reactions

Arata Nakajo

We present a fully analytical, heuristic model the "Analytical Transport Network Model" for steady-state, diffusive, potential flow through a 3-D network. Employing a combination of graph theory, linear algebra, and geometry, the model explicitly relates a ...

Elsevier Science 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

On the Throughput of Ad-Hoc Networks using Connectivity Graphs

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Localizing Traffic Differentiation

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices

A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system

FCR: Fast and Consistent Controller-Replication in Software Defined Networking

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Optimal Number of Paths with Multipath Routing in Hybrid Networks

rDAN: Toward robust demand-aware network designs

Analytical transport network theory to guide the design of 3-D microstructural networks in energy materials: Part 1. Flow without reactions

Alignment and Assembly

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Analytical transport network theory to guide the design of 3-D microstructural networks in energy materials: Part 1. Flow without reactions

rDAN: Toward robust demand-aware network designs

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Alignment and Assembly

A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system

FCR: Fast and Consistent Controller-Replication in Software Defined Networking

Localizing Traffic Differentiation

Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices

Optimal Number of Paths with Multipath Routing in Hybrid Networks