{"title":"Jiaming Pei","description":"\u003cp\u003eJiaming Pei is a Ph.D. candidate in Computer Science at the University of Sydney, Australia. His research focuses on federated learning, trustworthy AI, and their applications in intelligent transportation and IoT. He has published in prestigious journals including IEEE TITS, IEEE TCE, IEEE TAI, etc. \u003cbr\u003eLukun Wang received his Ph.D. from the Ocean University of China in 2016. He is currently an Associate Professor and Master Supervisor at the School of Intelligent Equipment, Shandong University of Science and Technology. His research interests encompass artificial intelligence, computer vision, big data, and the Internet of Things. Dr. Wang also serves as an specially invited reviewer for the IEEE.\u003cbr\u003eMinghui Dai is a faculty member and Master’s supervisor at Donghua University, China. He received his Ph.D. from Shanghai University and was a postdoctoral researcher at the University of Macau. His research spans wireless communications, cloud-edge collaboration, and IoT security. Dr. Dai has published in leading IEEE journals and has received multiple Best Paper Awards from international conferences.\u003cbr\u003e\u003c\/p\u003e","products":[{"product_id":"federated-learning-for-smart-mobility-jiaming-pei-ebook","title":"Federated Learning for Smart Mobility","description":"\u003cp class=\"MsoNormal\" style=\"mso-line-height-alt: 0pt;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003eIntroduction to Federated Learning for Smart Mobility\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: ZH-CN;\"\u003e.- \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003eFoundations of FL and IoT Systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: ZH-CN;\"\u003e.-\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003e FL Applications in Smart Mobility\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: ZH-CN;\"\u003e.- C\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003ease Studies and Research Insights\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: ZH-CN;\"\u003e.- \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-bookmark: _Hlk210757407;\"\u003e\u003cspan\u003e\u003cspan lang=\"EN-AU\" style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; color: #595959; mso-themecolor: text1; mso-themetint: 166; mso-ansi-language: EN-AU; mso-fareast-language: EN-AU;\"\u003eChallenges and Future Directions.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Jiaming Pei","offers":[{"title":"Default Title","offer_id":53628168110407,"sku":"9789819561605","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/federated-learning-for-smart-mobility-ebook.webp?v=1775019664"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/jiaming-pei-autor-kollektion.webp?v=1775019662","url":"https:\/\/www.cinebuch.de\/collections\/jiaming-pei.oembed","provider":"CineBuch","version":"1.0","type":"link"}