{"product_id":"advances-and-open-problems-in-federated-learning-9781680837889","title":"Advances and Open Problems in Federated Learning","description":"\u003cp\u003eThe term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client's raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eSince then, the topic has gathered much interest across many different disciplines and the realization that solving many of these interdisciplinary problems likely requires not just machine learning but techniques from distributed optimization, cryptography, security, differential privacy, fairness, compressed sensing, systems, information theory, statistics, and more.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eThis monograph has contributions from leading experts across the disciplines, who describe the latest state-of-the art from their perspective. These contributions have been carefully curated into a comprehensive treatment that enables the reader to understand the work that has been done and get pointers to where effort is required to solve many of the problems before Federated Learning can become a reality in practical systems.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eResearchers working in the area of distributed systems will find this monograph an enlightening read that may inspire them to work on the many challenging issues that are outlined. This monograph will get the reader up to speed quickly and easily on what is likely to become an increasingly important topic: Federated Learning.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-14732136\"\u003ePeter Kairouz\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Now Publishers\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/23\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 226\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.71lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.48d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781680837889\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1680837885\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM037000\"\u003eMachine Theory\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM094000\"\u003eData Science | Machine Learning\u003c\/a\u003e\u003cbr\u003e","brand":"Now Publishers","offers":[{"title":"Default Title","offer_id":44439057891565,"sku":"9781680837889","price":132.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_cccfeba6-6a1c-40ea-86c4-7fdae7b2d429.jpg?v=1700154835","url":"https:\/\/sureshotbooks.com\/products\/advances-and-open-problems-in-federated-learning-9781680837889","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}