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Federated Learning

Fundamentals and Advances

Yaochu Jin,Hangyu Zhu,Jinjin Xu,Yang Chen

Computer Science (R0)

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Langue :English
ISBN :9789811970832
Date de parution :30 nov. 2022
Éditeur :Springer Nature Singapore

Marque éditoriale :Springer
Format de fichier :EPUB3
Taille de fichier :29.77 MB
Options de téléchargement :EPUB3 (Adobe DRM)

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Vos paramètres de confidentialité

Federated Learning

Résumé

À propos de ce livre

Détails du livre

Comment lire

Dans cette série

Computational Evolution of Neural and Morphological Development

Lectures semblables

Principles of Cognitive Radio

Intelligent Automation and Computer Engineering

MIMO-OFDM for LTE, WiFi and WiMAX

Computer Engineering and Networking

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

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Parallel Architectures, Algorithms and Programming

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Collaborative Computing: Networking, Applications and Worksharing

Algorithms and Architectures for Parallel Processing

Parallel Architecture, Algorithm and Programming

Structural, Syntactic, and Statistical Pattern Recognition

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Computer Supported Cooperative Work and Social Computing

Proceedings of International Conference on Soft Computing Techniques and Engineering Application

Advanced Intelligent Computing Technology and Applications

Communications and Networking

Machine Learning for Networking

Knowledge Science, Engineering and Management

Evolutionary Multi-Criterion Optimization

Human Centered Computing

Artificial Neural Networks and Machine Learning – ICANN 2022

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

Theoretical Computer Science

Pattern Recognition and Computer Vision

Intelligent Data Engineering and Automated Learning – IDEAL 2016

New Trends in Computer Technologies and Applications

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Database Systems for Advanced Applications. DASFAA 2021 International Workshops

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Computational Science – ICCS 2022

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Computational Science – ICCS 2018

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

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Information Security Applications

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Cryptographic Hardware and Embedded Systems – CHES 2017

Smart Card Research and Advanced Applications

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Emerging Information Security and Applications

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Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

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High Performance Computing for Big Data

Intelligent Computing Theories and Methodologies

Bio-inspired Computing – Theories and Applications

Lecture Notes in Real-Time Intelligent Systems

Web Information Systems and Applications

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Proceedings of 2013 Chinese Intelligent Automation Conference

Pattern Recognition and Computer Vision

Neural Information Processing