04351oam 2200541 450 99641821780331620210524001225.03-030-63076-510.1007/978-3-030-63076-8(CKB)4100000011610157(MiAaPQ)EBC6414084(DE-He213)978-3-030-63076-8(PPN)252506855(EXLCZ)99410000001161015720210524d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierFederated learning privacy and incentive /edited by Qiang Yang, Lixin Fan, and Han Yu1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (X, 286 p. 94 illus., 82 illus. in color.) Lecture Notes in Artificial Intelligence ;12500Includes index.3-030-63075-7 Privacy -- Threats to Federated Learning -- Rethinking Gradients Safety in Federated Learning -- Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks -- Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning -- Large-Scale Kernel Method for Vertical Federated Learning -- Towards Byzantine-resilient Federated Learning via Group-wise Robust Aggregation -- Federated Soft Gradient Boosting Machine for Streaming Data -- Dealing with Label Quality Disparity In Federated Learning -- Incentive -- FedCoin: A Peer-to-Peer Payment System for Federated Learning -- Efficient and Fair Data Valuation for Horizontal Federated Learning -- A Principled Approach to Data Valuation for Federated Learning -- A Gamified Research Tool for Incentive Mechanism Design in Federated Learning -- Budget-bounded Incentives for Federated Learning -- Collaborative Fairness in Federated Learning -- A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning -- Applications -- Federated Recommendation Systems -- Federated Learning for Open Banking -- Building ICU In-hospital Mortality Prediction Model with Federated Learning -- Privacy-preserving Stacking with Application to Cross-organizational Diabetes Prediction. .This book provides a comprehensive and self-contained introduction to Federated Learning, ranging from the basic knowledge and theories to various key applications, and the privacy and incentive factors are the focus of the whole book. This book is timely needed since Federated Learning is getting popular after the release of the General Data Protection Regulation (GDPR). As Federated Learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. First, it introduces different privacy-preserving methods for protecting a Federated Learning model against different types of attacks such as Data Leakage and/or Data Poisoning. Second, the book presents incentive mechanisms which aim to encourage individuals to participate in the Federated Learning ecosystems. Last but not the least, this book also describes how Federated Learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both academia and industries, who would like to learn federated learning from scratch, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing are preferred.Lecture Notes in Artificial Intelligence ;12500Federated database systemsApplication softwareMachine learningFederated database systems.Application software.Machine learning.006.31Yu HanFan LixinYang Qiang1961-MiAaPQMiAaPQUtOrBLWBOOK996418217803316Federated Learning2899543UNISA03979nam 2200589 450 991015944690332120170112221407.09781522520146electronic9781522520139print10.4018/978-1-5225-2013-9(CKB)3710000001018927(MiAaPQ)EBC4786593(CaBNVSL)gtp00566735(OCoLC)968243595(IGIG)00171015(EXLCZ)99371000000101892720170107d2017 fy 0engurbn||||m|||ardacontentrdamediardacarrierAdvancing cloud database systems and capacity planning with dynamic applications /Narendra Kumar Kamila [editor]Hershey, Pennsylvania :IGI Global,2017.©2017PDFs (430 pages) illustrationsAdvances in Data Mining and Database Management (ADMDM) Book Series,2327-199X1-5225-2013-9 Includes bibliographical references and index.Fundamentals of data mining and data warehousing / Sathiyamoorthi V -- Energy and carbon footprint-aware management of geo-distributed cloud data centers: a taxonomy, state of the art, and future directions / Atefeh Khosravi, Rajkumar Buyya -- Cloud-based platforms and infrastructures: provisioning physical and virtual networks / Marcus Tanque -- Advances in dynamic virtual machine management for cloud data centers / Rashmi Rai, G. Sahoo -- Resource allocation policies in cloud computing environment / Suvendu Chandan Nayak [and 3 others] -- Privacy preserving public auditing in cloud: literature review / Thangavel M. [and 3 others] -- Resource management in sensor cloud / Prashant Sangulagi, Ashok V. Sutagundar -- Challenges and issues in web-based information retrieval system / Sathiyamoorthi V. -- Big data optimization for customer discounts in cloud computing environment / Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey -- Cloud database systems: NoSQL, NewSQL, hybrid: / Balamurugan Balusamy [and 3 others] -- Security for hybrid mobile development: challenges and opportunities / Marcus Tanque -- Denial of service (DoS) attacks over cloud environment: a literature survey / Thangavel M., Nithya S, Sindhuja R -- Security aspects in cloud computing / Tabassum N. Mujawar, Ashok V. Sutagundar, Lata L. Ragha -- A user-centered log-based information retrieval system using web log mining: an efficient information retrieval system / Sathiyamoorthi V -- Session hijacking over cloud environment: a literature survey / Thangavel M., Pandiselvi K, Sindhuja R."[This book] is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials"--Provided by publisher.Advances in data mining and database management (ADMDM) book series.Cloud computingDatabase managementArtificial intelligenceBig data architecturesCloud capacity planningInformation storage and retrievalInformation systems applicationsMultimedia big dataCloud computing.Database management.004.6782Kamila Narendra Kumar1249762Kamila Narendra Kumar1967-CaBNVSLCaBNVSLCaBNVSLBOOK9910159446903321Advancing cloud database systems and capacity planning with dynamic applications2896028UNINA02338nam a2200301 i 450099100435243790753620241121100550.0241121s1779 it er 001 0 ita dt-n- iuu-noon (ade (3)1779 (A)Bibl. Interfacoltà T. PellegrinoitaSocioculturale ScsitafreNicole, Pierre<1625-1695>160860La perpetuité de la foy de l'Eglise catholique touchant l'eucharistie. Avec la réfutation de l'écrit d'un ministre contre ce traité.La perpetuità della fede della chiesa cattolica rapporto all'eucaristia, con la confutazione dello scritto d'un ministro contro di questo trattato. Divisa in tre parti. Opera del fù sig. di Chanteresme. Ora per la prima volta tradotta dal franceseIn Venezia :presso Lorenzo Baseggio,1779382, [2] p. ;12ºDi Pierre Nicole. Cfr. OCLC: 636312392Fregio sul frontespizioCorsivo ; romanoSegnatura: A-Q¹²; bianca l'ultima cartaIl fondo Briganti-Stajano è stato annesso al patrimonio della Biblioteca Interfacoltà nel 1981. Le famiglie da cui il fondo prende il nome sono l'aristocratica famiglia gallipolina dei Briganti (fine XVIII sec.) e la famiglia Stajano di Sannicola, alla quale il fondo è pervenuto in eredità dopo la morte di Domenico Briganti, ultimo discendente (fine XIX sec.). Il fondo si compone di una sezione a stampa antica e moderna e di una sezione manoscritta. La sezione a stampa è costituita in buona parte dalla biblioteca dei due esponenti più noti dell’Illuminismo riformatore salentino, Tommaso Briganti (1691-1762) e il figlio Filippo (1726-1804), e riflette in pieno i loro interessi per le discipline storiche, giuridiche, economiche, religiose e filosofiche; sono presenti nella sezione, inoltre, libri, opuscoli, documenti e opere degli stessi Stajano.LE0021 esemplareLE002Briganti-Stajano <fam.><sec. 18-19.>possessore precedenteLE002Baseggio, LorenzoItaliaVenezia991004352437907536Perpetuité de la foy de l'Eglise catholique touchant l'eucharistie. Avec la réfutation de l'écrit d'un ministre contre ce traité4287225UNISALENTO