Maudlin 发表于 2025-3-21 17:21:10
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,Towards an Efficient Client Selection System for Federated Learning,completion of model training or evaluation without sharing private or local data. More and more modern data applications turn to federated learning models due to their scalability and privacy preservation. Selecting proper clients for model training and evaluation is a key issue for federated learniLice692 发表于 2025-3-22 02:10:27
,Hestia: A Cost-Effective Multi-dimensional Resource Utilization for Microservices Execution in the e cluster, if each machine can save a small amount of resources, a huge effect could be made to significantly reduce the overall computing cost as the saved resources across the cluster can be gathered into a large resource pool to facilitate the computation as a whole. As such, how to effectively aamputation 发表于 2025-3-22 04:59:01
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Analysis of Data Micro-governance in Full Life Cycle Management of the Leased Assets, things are applied to the full life cycle management of leased assets. And combined with the theoretical knowledge framework of DAMA data management system, which making data management ideas and methods are practiced in the online asset management platform project. This study considerably provides开玩笑 发表于 2025-3-22 23:08:36
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https://doi.org/10.1007/978-3-658-45377-0loss (CL) as an auxiliary supervision for the meta-training stage. The proposed bipartite method, called FSIC-SSL, can SOTA task accuracies on two mainstream FSIC benchmark datasets. Our code will be available at ..