{"product_id":"federated-learning-based-intelligent-systems-to-handle-issues-and-challenges-in-iovs-part-1-paperback","title":"Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePuneet Garg\u003c\/b\u003e (Editor), \u003cb\u003eJyoti Agarwal\u003c\/b\u003e (Editor), \u003cb\u003eHardeo Kumar Thakur\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eFederated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eChapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. \u003cp\u003e\u003c\/p\u003eKey Features: \u003cbr\u003e- Addresses data privacy, secure communication, and adaptive solutions in IoV\u003cbr\u003e- Explores federated learning applications in real-time IoV systems\u003cbr\u003e- Combines practical examples with theoretical foundations in IoV technology\u003cbr\u003e- Includes emerging research areas in IoV federated learning frameworks\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 238\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.62 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 13, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44528848142471,"sku":"9789815313048","price":82.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/YJqdnWxFh9789815313048.webp?v=1777089037","url":"https:\/\/booksby.splitshops.com\/products\/federated-learning-based-intelligent-systems-to-handle-issues-and-challenges-in-iovs-part-1-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}