03932nam 22006855 450 99651775170331620230328095244.09783031289965(electronic bk.)978303128995810.1007/978-3-031-28996-5(MiAaPQ)EBC7221150(Au-PeEL)EBL7221150(OCoLC)1374425264(DE-He213)978-3-031-28996-5(PPN)26909282X(EXLCZ)992634744200004120230328d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTrustworthy Federated Learning[electronic resource] First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers /edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (168 pages) illustrationsLecture Notes in Artificial Intelligence,2945-9141 ;13448Print version: Goebel, Randy Trustworthy Federated Learning Cham : Springer International Publishing AG,c2023 9783031289958 Includes bibliographical references and index.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.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. The 11 full papers presented in this book were carefully reviewed and selected from 12 submissions. They are organized in three topical sections: answer set programming; adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.Lecture Notes in Artificial Intelligence,2945-9141 ;13448Artificial intelligenceData protectionSocial sciences—Data processingApplication softwareArtificial IntelligenceData and Information SecurityComputer Application in Social and Behavioral SciencesComputer and Information Systems ApplicationsArtificial intelligence.Data protection.Social sciences—Data processing.Application software.Artificial Intelligence.Data and Information Security.Computer Application in Social and Behavioral Sciences.Computer and Information Systems Applications.006.3Yu Han(Assistant Professor),Goebel RandyFaltings BoiFan Lixin(Scientist),Xiong ZehuiMiAaPQMiAaPQMiAaPQ996517751703316Trustworthy Federated Learning3091291UNISA