{"product_id":"federated-learning-von-yaochu-jin-hangyu-zhu-jinjin-xu-und-yang-chen","title":"Federated Learning","description":"\n                                \n                \u003cp\u003eThis book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. \u003c\/p\u003e\n                                The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on multi-party secure computation, differential privacy, and homomorphic encryption, followed by a detailed description of federated learning. In turn, the book addresses the latest advances in federate learning research, especially from the perspectives of communication efficiency, evolutionarylearning, and privacy preservation.\n                \n                \u003cp\u003e\u003c\/p\u003e\n                                The book is particularly well suited for graduate students, academic researchers, and industrial practitioners in the field of machine learning and artificial intelligence. It can also be used as a self-learning resource for readers with a science or engineering background, or as a reference text for graduate courses.       \n                \n                \u003cp\u003e\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9789811970856\"\u003e\u003ch3\u003eFundamentals and Advances\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9789811970825\"\u003e\u003ch3\u003eFundamentals and Advances\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9789811970856","offer_id":47388757066053,"sku":"9789811970856","price":171.19,"currency_code":"EUR","in_stock":true},{"title":"Hardcover - 9789811970825","offer_id":40766265589853,"sku":"9789811970825","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/d136c81f-4895-4d55-b42a-caa84a70ef5f.jpg?v=1773991212","url":"https:\/\/shop.autorenwelt.de\/products\/federated-learning-von-yaochu-jin-hangyu-zhu-jinjin-xu-und-yang-chen","provider":"Autorenwelt Shop","version":"1.0","type":"link"}