Publications associées à On the benefits of diffusion cooperation for distributed optimization and learning

The kinectome: A comprehensive kinematic map of human motion in health and disease

Enrico Amico, Antonella Romano, Emahnuel Troisi Lopez

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, the current methodological approaches to study human movement are still limited to the evaluation of the synergies among a few body ...

WILEY2022

Strong Subconvexity for Self-Dual GL(3) L-Functions

Yongxiao Lin, Ramon Moreira Nunes, Zhi Qi

In this paper, we prove strong subconvexity bounds for self-dual GL(3) L-functions in the t-aspect and for GL(3) x GL(2) L-functions in the GL(2)-spectral aspect. The bounds are strong in the sense that they are the natural limit of the moment method pione ...

OXFORD UNIV PRESS2022

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

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

The paper “Dynamic efficiency in multilayer transportation networks” (Bellocchi, Geroliminis, 2018) [1] introduced new performance measures to quantify dynamically the effect of traffic congestion in a multilayer network. Based on these measures, we explor ...

2020

Morphology and morphodynamics of braided rivers: an experimental investigation

Daniel Vito Papa

Braided rivers form some of the most fascinating fluvial patterns found on Earth. They are identifiable by their unique morphology of complex networks of intertwined channels that spread across wide floodplains. Detailed knowledge of their dynamics is need ...

EPFL2020

Percolation and Internet Science

Emanuele Massaro

Percolation, in its most general interpretation, refers to the “flow” of something (a physical agent, data or information) in a network, possibly accompanied by some nonlinear dynamical processes on the network nodes (sometimes denoted reaction–diffusion s ...

2019

Global robustness versus local vulnerabilities in complex synchronous networks

Philippe René Joseph Jacquod

In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions ...

2019

Optimized Quantization in Distributed Graph Signal Processing

Pascal Frossard, Isabela Cunha Maia Nobre

Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates er ...

IEEE2019

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

Risk Perception and Epidemics in Complex Computer Networks

Emanuele Massaro

We present a self-organised method for quickly obtaining the epidemic threshold of infective processes on networks. Starting from simple percolation models, we introduce the possibility that the effective infection probability is affected by the perception ...

IEEE2018

On the benefits of diffusion cooperation for distributed optimization and learning

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The kinectome: A comprehensive kinematic map of human motion in health and disease

Strong Subconvexity for Self-Dual GL(3) L-Functions

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

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Morphology and morphodynamics of braided rivers: an experimental investigation

Percolation and Internet Science

Global robustness versus local vulnerabilities in complex synchronous networks

Optimized Quantization in Distributed Graph Signal Processing

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

Risk Perception and Epidemics in Complex Computer Networks

The kinectome: A comprehensive kinematic map of human motion in health and disease

Risk Perception and Epidemics in Complex Computer Networks

Global robustness versus local vulnerabilities in complex synchronous networks

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Morphology and morphodynamics of braided rivers: an experimental investigation

Strong Subconvexity for Self-Dual GL(3) L-Functions

Optimized Quantization in Distributed Graph Signal Processing

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

Percolation and Internet Science

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