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Author

Fang Dong

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#edge computing Nov 2026

AccSI: Accelerating Serverless Inference via Edge-Assisted Pipelined Model Fetching

Serverless edge computing (SEC) is an emerging paradigm for delivering low-latency and auto-scaling services on resource-limited edges. However, when applied to DNN inference applications, SEC suffers from significant cold-start overhead, because large model parameters need to be fetched from remote model registries be...

Zhao-Wu Huang, Fang Dong, Xiao-Lin Guo et al. · 0 citations
#federated learning Oct 2026

CODEA: Online Container Deployment and Edge Association for Multi-Edge Federated Synergy Learning

Federated edge learning (FEEL) is a prospective paradigm enabling edge devices to collaboratively participate in machine learning model training, unlocking countless opportunities for edge intelligence. As an extension of FEEL, federated synergy learning (FSyL) alleviates the computation and communication burdens on re...

Shu-Cun Fu, Fang Dong, Xiao-Long Xu et al. · 1 citation

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