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Poster (Scientific congresses, symposiums and conference proceedings)
CONVERGENCE TIME ANALYSIS OF ASYNCHRONOUS DISTRIBUTED ARTIFICIAL NEURAL NETWORKS
DALLE LUCCA TOSI, Mauro; ELLAMPALLIL VENUGOPAL, Vinu; THEOBALD, Martin
2022 • 5th Joint International Conference on Data Science Management of Data (9th ACM IKDD CODS and 27th COMAD)
Peer reviewed
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https://hdl.handle.net/10993/54535
 

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Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
DALLE LUCCA TOSI, Mauro  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
ELLAMPALLIL VENUGOPAL, Vinu ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
THEOBALD, Martin ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
CONVERGENCE TIME ANALYSIS OF ASYNCHRONOUS DISTRIBUTED ARTIFICIAL NEURAL NETWORKS
Publication date :
2022
Event name :
5th Joint International Conference on Data Science Management of Data (9th ACM IKDD CODS and 27th COMAD)
Event date :
from 07-01-2022 to 10-01-2022
Audience :
International
Peer reviewed :
Peer reviewed
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Available on ORBilu :
since 06 March 2023

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