Publications related to Computer network

Frugal Decentralized Learning

Machine learning is currently shifting from a centralized paradigm to decentralized ones where machine learning models are trained collaboratively. In fully decentralized learning algorithms, data remains where it was produced, models are trained locally a ...

IEEE2022

Penalized denoising of vehicle trajectories collected by a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Georgios Anagnostopoulos

Vehicle trajectory datasets collected in urban traffic environments with drones pose unique chal- lenges in terms of denoising due to extensive visual restrictions, perspective distortions and human- induced errors. This article taps into the unexplored po ...

2022

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

Yinlin Hu, Yunpeng Li, Jingyu Li, Rui Song

Semantic segmentation for remote sensing images (RSI) is critical for the Earth monitoring system. However, the covariate shift between RSI datasets under different capture conditions cannot be alleviated by directly using the unsupervised domain adaptatio ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Direct encapsulation of biomolecules in semi-permeable microcapsules produced with double-emulsions

Sebastian Maerkl, Grégoire Michielin

Compartmentalization can serve different purposes such as the protection of biological active substances from the environment, or the creation of a unique combination of biomolecules for diagnostic, therapeutic, or other bioengineering applications. We pre ...

NATURE PORTFOLIO2022

Understanding Deep Neural Networks using Adversarial Attacks

Krishna Kanth Nakka

Deep Neural Networks (DNNs) have achieved great success in a wide range of applications, such as image recognition, object detection, and semantic segmentation. Even thoughthe discriminative power of DNNs is nowadays unquestionable, serious concerns have a ...

EPFL2022

A multi-scale probabilistic atlas of the human connectome

Meritxell Bach Cuadra, Alessandra Griffa, Patric Hagmann, Maxime Descoteaux, Elena Najdenovska

The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-s ...

NATURE PORTFOLIO2022

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

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Martin Jaggi, Sebastian Urban Stich, Hossein Shokri Ghadikolaei

In distributed optimization, parameter updates from the gradient computing node devices have to be aggregated in every iteration on the orchestrating server. When these updates are sent over an arbitrary commodity network, bandwidth and latency can be limi ...

MICROTOME PUBLISHING2021

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

This article addresses the problem of simultaneous distributed state estimation, and control of linear systems with linear state feedback, subjected to process, and measurement noise, under the constraints of quantized, and rate-limited network data transm ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Reinforced Attention for Few-Shot Learning and Beyond

Tong Zhang

Few-shot learning aims to correctly recognize query samples from unseen classes given a limited number of support samples, often by relying on global embeddings of images. In this paper, we propose to equip the backbone network with an attention agent, whi ...

IEEE COMPUTER SOC2021

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Frugal Decentralized Learning

Penalized denoising of vehicle trajectories collected by a swarm of drones

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

Direct encapsulation of biomolecules in semi-permeable microcapsules produced with double-emulsions

Understanding Deep Neural Networks using Adversarial Attacks

A multi-scale probabilistic atlas of the human connectome

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

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Reinforced Attention for Few-Shot Learning and Beyond

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

Frugal Decentralized Learning

Direct encapsulation of biomolecules in semi-permeable microcapsules produced with double-emulsions

Penalized denoising of vehicle trajectories collected by a swarm of drones

Understanding Deep Neural Networks using Adversarial Attacks

A multi-scale probabilistic atlas of the human connectome

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Reinforced Attention for Few-Shot Learning and Beyond

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