Federated learning (FL) struggles with scalability in decentralized big data platforms due to data heterogeneity, communication bottlenecks, and computational inefficiencies. We propose Adaptive Feder
Federated learning (FL) struggles with scalability in decentralized big data platforms due to data heterogeneity, communication bottlenecks, and computational inefficiencies. We propose Adaptive Feder
For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy
For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy