Publications associées à Communauté d'apprentissage

On the (In)security of Peer-to-Peer Decentralized Machine Learning

Carmela González Troncoso, Mathilde Aliénor Raynal, Dario Pasquini

In this work, we carry out the first, in-depth, privacy analysis of Decentralized Learning-a collaborative machine learning framework aimed at addressing the main limitations of federated learning. We introduce a suite of novel attacks for both passive and ...

IEEE COMPUTER SOC2023

Optimal recovery of unsecured debt via interpretable reinforcement learning

Thomas Alois Weber, Michael Mark, Huanxi Liu

This paper addresses the issue of interpretability and auditability of reinforcement-learning agents employed in the recovery of unsecured consumer debt. To this end, we develop a deterministic policy-gradient method that allows for a natural integration o ...

2022

Deep MinCut: Learning Node Embeddings by Detecting Communities

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong, Trung-Dung Hoang

We present Deep MinCut (DMC), an unsupervised approach to learn node embeddings for graph -structured data. It derives node representations based on their membership in communities. As such, the embeddings directly provide insights into the graph structure ...

ELSEVIER SCI LTD2022

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Martin Jaggi, Sebastian Urban Stich, Amirkeivan Mohtashami

It has been experimentally observed that the efficiency of distributed training with stochastic gradient (SGD) depends decisively on the batch size and—in asynchronous implementations—on the gradient staleness. Especially, it has been observed that the spe ...

2021

Age-Dependent Statistical Learning Trajectories Reveal Differences in Information Weighting

Steffen Alexander Herff

Statistical learning (SL) is the ability to generate predictions based on probabilistic dependencies in the environment, an ability that is present throughout life. The effect of aging on SL is still unclear. Here, we explore statistical learning in health ...

AMER PSYCHOLOGICAL ASSOC2020

Temporal analysis of multimodal data to predict collaborative learning outcomes

Kshitij Sharma, Jennifer Kaitlyn Olsen

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated ...

WILEY2020

Iterative Classroom Teaching

Pierre Dillenbourg, Volkan Cevher, Thibault Lucien Christian Asselborn, Shuqing Teresa Yeo, Louis Pierre Faucon, Kamalaruban Parameswaran

We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learning rate ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

Standardization Layers for Remote Laboratories as Services and Open Educational Resources

Denis Gillet, Christophe Salzmann, Wissam Halimi

Deliveringeducationandeducationalresourceshasevolvedfromclass- centered settings towards distributed, cloud-based models. This is mainly the con- sequence of publicly available educational resources such as documents, videos, and web applications. At the s ...

Springer2018

Exploring the effects of intellectual capital architectures on organizational ambidexterity. An fsQCA approach

Lorenzo Massa

Purpose - As the global market conditions become progressively more volatile and unpredictable, public and private organisations are increasingly pressured to rely on innovation and adaptability as crucial sources of sustained performance. Our study invest ...

Ikam-Inst Knowledge Asset Management2015

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Communauté d'apprentissage

On the (In)security of Peer-to-Peer Decentralized Machine Learning

Optimal recovery of unsecured debt via interpretable reinforcement learning

Deep MinCut: Learning Node Embeddings by Detecting Communities

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Age-Dependent Statistical Learning Trajectories Reveal Differences in Information Weighting

Temporal analysis of multimodal data to predict collaborative learning outcomes

Iterative Classroom Teaching

Standardization Layers for Remote Laboratories as Services and Open Educational Resources

Exploring the effects of intellectual capital architectures on organizational ambidexterity. An fsQCA approach

Knowledge Recombination Across Technological Boundaries: Scientists vs. Engineers

Graph Chatbot

Chattez avec Graph Search

Optimal recovery of unsecured debt via interpretable reinforcement learning

On the (In)security of Peer-to-Peer Decentralized Machine Learning

Deep MinCut: Learning Node Embeddings by Detecting Communities

Iterative Classroom Teaching

Age-Dependent Statistical Learning Trajectories Reveal Differences in Information Weighting

Temporal analysis of multimodal data to predict collaborative learning outcomes

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Knowledge Recombination Across Technological Boundaries: Scientists vs. Engineers

Exploring the effects of intellectual capital architectures on organizational ambidexterity. An fsQCA approach

Standardization Layers for Remote Laboratories as Services and Open Educational Resources