arXiv Machine Learning July 8, 2026 By Yang Fu, Peng Qin, Liming Chen, Zihao Zhang, Hao Yu, Yifei Wang

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach

Read the original on arXiv Machine Learning →

arXiv:2605. 02965v2 Announce Type: replace Abstract: Artificial intelligence-generated content (AIGC) has emerged as a transformative paradigm for automating the creation of diverse and customized content, giving rise to rapidly growing computational workloads in cloud data centers.

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

arXiv Machine Learning

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

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arXiv Machine Learning

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arXiv Machine Learning

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arXiv AI

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arXiv AI

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