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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur is one of the four "Interdisciplinary Institutes for Artificial Intelligence" that were created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur in partnership with major higher education and research partners in the region of Nice and Sophia Antipolis: CNRS, Inria, INSERM, EURECOM, and SKEMA Business School. The 3IA Côte d'Azur institute is also supported by ECA, Nice University Hospital Center (CHU Nice), CSTB, CNES, Data ScienceTech Institute and INRAE. The project has also secured the support of more than 62 companies and start-ups.
Last Deposits
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Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi. Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. ARES 2024 - 19th International Conference on Availability, Reliability and Security, Jul 2024, Vienna, Austria. pp.1-12, ⟨10.1145/3664476.3664488⟩. ⟨hal-04742784⟩
Documents in Full Text
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Keywords
SPARQL
Electronic medical record
Computing methodologies
Correlation matrices
Coxeter triangulation
CNN
Semantic segmentation
Federated Learning
Knowledge graphs
Super-resolution
FPGA
Diffusion strategy
ECG
Federated learning
Web of Things
Unsupervised learning
Semantic Web
Semantic web
Differential privacy
Change point detection
Visualization
Autonomous vehicles
Diffusion MRI
Deep Learning
Isomanifolds
Macroscopic traffic flow models
Echocardiography
MRI
Argument mining
Fluorescence microscopy
Domain adaptation
Electrophysiology
Biomarkers
COVID-19
Linked data
Graph signal processing
Atrial fibrillation
Artificial Intelligence
Image segmentation
Spiking neural networks
Persistent homology
Neural networks
Cable-driven parallel robot
Linked Data
53B20
Excursion sets
Optimization
Knowledge graph
Convolutional Neural Networks
Dimensionality reduction
Information Extraction
Atrial Fibrillation
Grammatical Evolution
Data augmentation
Deep learning
Distributed optimization
Autoencoder
Contrastive learning
Computational Topology
Consensus
Graph neural networks
Explainable AI
Alzheimer's disease
Apprentissage profond
Hyperspectral data
Dense labeling
Argument Mining
Multi-Agent Systems
Hyperbolic systems of conservation laws
Ontology Learning
Brain-inspired computing
Geometric graphs
Privacy
Image fusion
Sparsity
Computer vision
Topological Data Analysis
Uncertainty
NLP Natural Language Processing
Convergence analysis
Clinical trials
Segmentation
Electrocardiogram
Convolutional neural networks
Extracellular matrix
OPAL-Meso
Spiking Neural Networks
Artificial intelligence
Co-clustering
Latent block model
Predictive model
Anomaly detection
Embedded Systems
Convolutional neural network
Healthcare
Arguments
Machine learning
Clustering
Extreme value theory
RDF