arXiv Machine Learning July 22, 2026 By Vo Phi Son, Van-Dinh Nguyen, Ngoc Hung Nguyen, Trinh Van Chien, Symeon Chatzinotas

Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks

Read the original on arXiv Machine Learning →

arXiv:2607. 18288v1 Announce Type: new Abstract: Load imbalance across edge and cloud layers degrades latency performance in hierarchical edge-cloud computing (HECC) systems under dynamic task arrivals and heterogeneous resources, leading to severe queuing delays and inefficient resource utilization.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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