Author

Yuan'an Liu

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#edge computing Nov 2026

DRL-Based Joint Task Processing and Resource Allocation for Remote Sensing in Vehicle-Device-Edge Collaborative Networks

Remote sensing is a key enabling technology for intelligent vehicle and transportation systems, as it acquires environmental and traffic data beyond the vehicle’s visual range. However, in practical scenarios, the lack of flexible collaboration between sensing nodes and computing facilities leads to low efficiency in t...

Yang Yu, Wen-Hao Fan, Chenhui Bao et al. · IEEE Transactions on Mobile... · 0 citations

#edge computing Nov 2026

Adaptive Dual-Layer DRL-Based AI Model Placement, Task Scheduling, and Resource Allocation for Collaborative Edge Inference and Training

In edge intelligence networks, AI model inference and training tasks coexist and complement each other. Inference tasks demand low latency and diversity to support real-time services, whereas training tasks are computationally intensive and rely on distributed user devices (UDs) data for continuous model enhancement.Ho...

Xiongfei Chun, Wen-Hao Fan, Ruimin Zhang et al. · IEEE Transactions on Mobile... · 0 citations

#edge computing Oct 2026

Adaptive Model Partitioning, Encryption Configuration, and Resource Allocation for Device-and-Edge Collaborative Homomorphic Encrypted Split Federated Learning

The integration of homomorphic encryption (HE) into split federated learning (SFL) offers significant security advantages by maintaining end-to-end encryption of intermediate computations. Existing SFL approaches often overlook encryption, adopting fixed machine learning (ML) model partitioning strategies without consi...

Penghui Chen, Wenhao Fan, Guan Wang et al. · IEEE Transactions on Mobile... · 0 citations