{"product_id":"artificial-intelligence-using-federated-learning-fundamentals-challenges-and-applications-9781032771649","title":"Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 294 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 30 December 2024\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eFederated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 453g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032771649\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":47870472814842,"sku":"9781032771649","price":133.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1761354288234_book.jpg?v=1761469755","url":"https:\/\/shulphink.com\/products\/artificial-intelligence-using-federated-learning-fundamentals-challenges-and-applications-9781032771649","provider":"Shulph Ink","version":"1.0","type":"link"}