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An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction., , , , , и . ISCC, стр. 1-6. IEEE, (2020)A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers., , , , , , , и . ICCCN, стр. 1-9. IEEE, (2021)A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers., , , , , , и . Sustain. Comput. Informatics Syst., (2021)Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers., , , , , , , и . EMNLP (Findings), стр. 13117-13130. Association for Computational Linguistics, (2023)Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models., , , , и . ICML, OpenReview.net, (2024)Adversarial Attacks to Manipulate Target Localization of Object Detector., , , , , , , и . IEEE Access, (2024)An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers., , , , , и . ICCCN, стр. 1-6. IEEE, (2020)Eco-friendly Dynamic Task Scheduling for Regional Data Center., , , , , и . e-Energy, стр. 566-571. ACM, (2020)A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers., , , , , , , , и . ISPA/BDCloud/SocialCom/SustainCom, стр. 947-954. IEEE, (2021)Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs., , , , и . ICLR, OpenReview.net, (2024)