A graph-cut plus multi-agent reinforcement learning method for offloading GNN tasks in edge networks reduces simulated system cost and cross-server communication in dynamic scenarios.
Enabling balanced data deduplication in mobile edge computing.IEEE Trans- actionsonParallelandDistributedSystems ,34(5):1420–1431,2023
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GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
A graph-cut plus multi-agent reinforcement learning method for offloading GNN tasks in edge networks reduces simulated system cost and cross-server communication in dynamic scenarios.