Author

Jie Tian

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2026

Dynamic Vehicle Selection and Bandwidth Allocation for Federated Learning With Long-Term Latency Constraint in Vehicular Networks

Federated learning (FL) is increasingly adopted in vehicular networks to facilitate intelligent transportation applications while maintaining the confidentiality of onboard data. However, due to vehicle mobility, heterogeneity, and limited bandwidth resources, how to dynamically select participating vehicles and alloca...

Xiao-Na Jiang, Jie Tian, Dong-Yang Li et al. · IEEE Communications Letters · 0 citations

2026

Delay-Driven Vehicle Scheduling and Resource Optimization for Multi-Task Federated Learning in Heterogeneous Vehicular Networks

Federated learning (FL) has become a promising paradigm for privacy-preserving and communication-efficient model training in vehicular networks. With the continuous expansion of vehicular networks, multiple FL tasks are often initiated concurrently by moving vehicles, which poses substantial challenges to the conventio...

Xiao-Na Jiang, Jie Tian, Tian-Tian Li et al. · IEEE Transactions on Cogniti... · 0 citations

Conference Aug 2026

Energy-Efficiency-Oriented Cooperative UAV Caching and Resource Allocation

In dynamic hotspot scenarios such as large-scale events and emergency gatherings, UAV-assisted edge content delivery must address challenges like fluctuating user demands, limited cache capacity, and stringent energy constraints. Existing studies primarily focus on delay, throughput, or cache replacement costs, without...

Chen-Yu Wei, Jie Tian, Wen-Jian Xu et al. · 2026 IEEE/CIC International... · 0 citations