Πλοήγηση ανά Θέμα "Learning frameworks"
Αποτελέσματα 1-5 από 5
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IPLS: A Framework for Decentralized Federated Learning
(2021)The proliferation of resourceful mobile devices that store rich, multidimensional and privacy-sensitive user data motivate federated learning, a paradigm that enables mobile devices to produce a machine-learning model ... -
Machine learning for all: A more robust federated learning framework
(2019)Machine learning and especially deep learning are appropriate for solving multiple problems in various domains. Training such models though, demands significant processing power and requires large data-sets. Federated ... -
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads
(2021)Over the recent years, deep learning is widely being used in a variety of different fields and applications. The constant growth of data used to train complex models, has opened research in the distributed learning. In ... -
SPATIO-TEMPORAL GRAPH CONVOLUTIONAL NETWORKS FOR CONTINUOUS SIGN LANGUAGE RECOGNITION
(2022)We address the challenging problem of continuous sign language recognition (CSLR) from RGB videos, proposing a novel deep-learning framework that employs spatio-temporal graph convolutional networks (ST-GCNs), which operate ... -
Towards a Virtual Environment to Teach Natural Resouce Management based on a Virtual City Serious Game
(2022)NATURE (Serious Games for Natural Resource Management) is an Erasmus+ project focused on building awareness, knowledge and skills on responsible natural resource management through digital experimentation in Higher Education. ...