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Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach., , , , и . ICPADS, стр. 569-576. IEEE, (2020)Fusion of Global and Local Knowledge for Personalized Federated Learning., , , , и . CoRR, (2023)ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain., , , , , и . WWW, стр. 2807-2816. ACM, (2024)Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation., , , , и . CoRR, (2024)An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee., , , , , и . CoRR, (2020)VFedCS: Optimizing Client Selection for Volatile Federated Learning., , , , , и . IEEE Internet Things J., 9 (24): 24995-25010 (2022)Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply., , , , , , , и . CoRR, (2021)An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing., , , , и . IEEE Trans. Cybern., 51 (11): 5595-5608 (2021)Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply., , , , , , , и . IEEE Internet Things J., 9 (10): 7446-7462 (2022)Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning., , , , и . CoRR, (2024)