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Author

Saiqin Long

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#edge computing Nov 2026

Overselling-Aware Task Scheduling in MEC With Deep Reinforcement Learning

Multi-access edge computing (MEC) enables low-latency computing services, yet third-party resource providers integrated into MEC systems may oversell their computing capacity, severely degrading task scheduling performance. To address this, we propose an overselling-aware task scheduling scheme with deep reinforcement...

Sai-Qin Long, Jiang-Hua Qian, Jian-Hui Wang et al. · 1 citation
Book Open access Aug 2026

FedRAHi: Reliability-Aware Hierarchical Collaboration for Federated Graph Foundation Models

FedRAHi, a Reliability-Aware Hierarchical collaboration framework for FedGFM that leverages the symbiotic knowledge to construct a client-aware affinity graph, and performs personalized weighting of client parameters based on the reliability scores is proposed.

Xiangkai Zhu, Yeyu Yan, Peng-Peng Qiao et al. · 0 citations
Book Open access Aug 2026

FedRAHi: Reliability-Aware Hierarchical Collaboration for Federated Graph Foundation Models

Federated Graph Foundation Models (FedGFM) offer a decentralized GNN training paradigm that combines the collaborative training of federated graph learning (FGL) with the cross-domain generalization of graph foundation model (GFM). However, existing FedGFM methods still suffer from two key limitations, where (i) single...

Xiangkai Zhu, Yeyu Yan, Pengpeng Qiao et al. · 0 citations

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