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Making Federated Learning Accessible to Scientists: The AI4..:

, In: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security,

Sáinz-Pardo Díaz, Judith ; Heredia Canales, Andrés ; Heredia Cachá, Ignacio... - p. 253-264 , 2024

Link: https://dl.acm.org/doi/10.1145/3658664.3659642

RT 
T1 <cTitle>Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security</cTitle>: T1 <Title>Making Federated Learning Accessible to Scientists: The AI4EOSC Approach</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3659642&Exemplar=1&LAN=DE
				
A1 Sáinz-Pardo Díaz, Judith
A1 Heredia Canales, Andrés
A1 Heredia Cachá, Ignacio
A1 Tran, Viet
A1 Nguyen, Giang
A1 Alibabaei, Khadijeh
A1 Obregón Ruiz, Marta
A1 Rebolledo Ruiz, Susana
A1 López García, Álvaro
PB ACM
YR 2024
K1 artificial intelligence
K1 federated learning
K1 open science
K1 privacy-preserving
K1 software development
K1 Computing methodologies
K1 Machine learning
K1 Artificial intelligence
K1 Software and its engineering
K1 Software creation and management
K1 Collaboration in software development
K1 Software development process management
K1 Distributed computing methodologies
SP 253
OP 264
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3658664.3659642
DO https://dl.acm.org/doi/10.1145/3658664.3659642
SF ELIB - SuUB Bremen

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