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Author

Shucheng Li

Nanjing University

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FedPKD+: A Prototype-Based Framework for Efficient and Flexible Heterogeneous Federated Learning

Federated Learning (FL) enables collaborative model training across mobile and edge devices without sharing raw data, but its deployment is hindered by <italic>system heterogeneity</italic> and <italic>non-IID</italic> data. Existing FL methods either require homogeneous architectures or suffer from accuracy loss and h...

Tong Liu, Feng Lyu, Shucheng Li et al. · 0 citations
Conference Aug 2026

DOpt: Decomposed Optimization for Collaborative VLM Inference Over IoT-UAV-GBS Hierarchies

Vision-language models (VLMs) have achieved remarkable success, yet their substantial resource demands far exceed the capabilities of typical IoT devices. This paper investigates collaborative VLM inference across IoT devices, mobile UAV relays, and a ground base station to bring intelligence to the edge. The collabora...

Jie Zhao, Shucheng Li, Ming-Liu Liu et al. · 0 citations

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