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Achieving an 80% reduction in low-latency VM offloading while managing only an 11.97% worst-case latency increase could revolutionize how we integrate low-latency applications into renewable energy systems.
Achieve up to 50% energy savings and 80% latency reduction in edge-based object detection by intelligently balancing load across heterogeneous devices, even with a minor accuracy trade-off.
Overcome the scalability bottleneck of GNN-based root cause analysis in edge computing by cascading subnetworks over clustered service graphs, achieving near-constant inference latency without sacrificing accuracy.
