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Trustworthy Federated Learning

First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers
BuchKartoniert, Paperback
159 Seiten
Englisch
Springererschienen am29.03.20231st ed. 2023
This book constitutes the refereed proceedings of the First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, held in Vienna, Austria, during July 23-25, 2022. adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR58,84
E-BookPDF1 - PDF WatermarkE-Book
EUR58,84

Produkt

KlappentextThis book constitutes the refereed proceedings of the First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, held in Vienna, Austria, during July 23-25, 2022. adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.
Details
ISBN/GTIN978-3-031-28995-8
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum29.03.2023
Auflage1st ed. 2023
ReiheLecture Notes in Artificial Intelligence
Seiten159 Seiten
SpracheEnglisch
IllustrationenX, 159 p. 53 illus., 49 illus. in color.
Artikel-Nr.52029450

Inhalt/Kritik

Inhaltsverzeichnis
Adaptive Expert Models for Personalization in Federated Learning.- Federated Learning with GAN-based Data Synthesis for Non-iid Clients.- Practical and Secure Federated Recommendation with Personalized Mask.- A General Theory for Client Sampling in Federated Learning.- Decentralized adaptive clustering of deep nets is beneficial for client collaboration.- Sketch to Skip and Select: Communication Efficient Federated Learning using Locality Sensitive Hashing.- Fast Server Learning Rate Tuning for Coded Federated Dropout.- FedAUXfdp: Differentially Private One-Shot Federated Distillation.- Secure forward aggregation for vertical federated neural network.- Two-phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting.- Privacy-Preserving Federated Cross-Domain Social Recommendation.mehr

Schlagworte