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[null,"1.","Record Nr.",null,"UNINA990000342160403321"]
[null,null,"Autore",null,"Smith, Edgar F."]
[null,null,"Titolo",null,"Priestley in America 1794-1804 / By Edgar F. Smith"]
[null,null,"Pubbl/distr/stampa",null,"Philadelphia : P. Blakiston's Son & Co., copyr. 1920"]
[null,null,"Descrizione fisica",null,"173 p., 19 cm"]
[null,null,"Disciplina",null,"540"]
[null,null,"Locazione",null,"DINCH"]
[null,null,"Collocazione",null,"04 223-30"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910865239003321"]
[null,null,"Autore",null,"Amini M. Hadi"]
[null,null,"Titolo",null,"Distributed Machine Learning and Computing : Theory and Applications / / edited by M. Hadi Amini"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031575679"]
[{"$nulls":4},"9783031575662"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (163 pages)"]
[null,null,"Collana",null,"Big and Integrated Artificial Intelligence, , 2662-4141 ; ; 2"]
[null,null,"Disciplina",null,"621,382"]
[null,null,"Soggetti",null,"Telecommunication"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Communications Engineering, Networks"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Cyber-Physical Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1. Distributed Machine Learning and Computing: An Overview -- Chapter 2. Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks -- Chapter 3. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study -- Chapter 4. A Comprehensive Review of Artiﬁcial Intelligence and Machine Learning Methods for Modern Health-care Systems -- Chapter 5. Vertical Federated Learning: Principles, Applications, and Future Frontiers -- Chapter 6. Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid.-Chapter 7. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization."]
[null,null,null,"Sommario/riassunto","This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in "]
[{"$nulls":4},"multidisciplinary areas that rely on distributed machine learning and computing techniques. Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems; Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks; Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks."]