Federated Learning for Smart Mobility

Towards Secure, Efficient, and Sustainable Transportation system

Jiaming Pei, Lukun Wang, Minghui Dai (Autoren)

Online Resource

XII, 100 Seiten

2026
Springer Singapore (Hersteller)
9789819561605 (ISBN)

Produkt-Details

• Erscheint lt. Verlag: 9.2.2026
• Reihe/Serie: Artificial Intelligence (R0)
• Reihe/Serie: SpringerBriefs in Computer Science
• Zusatzinfo: XII, 100 p. 25 illus.
• Verlagsort: Singapore
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: 6G and Future Internet • Autonomous Driving • Blockchain for Federated Learning • cloud-edge collaboration • Cooperative Perception • Data Security and Trustworthy AI • decentralized ai • edge computing • federated learning • Intelligent Transportation Systems (ITS) • Internet of Things (IoT) • IoT Data Heterogeneity • Privacy-Preserving Machine Learning • Smart City Applications • smart mobility • Sustainable transportation • Traffic Flow Prediction • vehicle-to-everything (V2X)
• ISBN-13: 9789819561605 / 9789819561605
• Zustand: Neuware