gratuity 发表于 2025-3-21 16:57:30

书目名称Green, Pervasive, and Cloud Computing影响因子(影响力)<br>        http://impactfactor.cn/2024/if/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing影响因子(影响力)学科排名<br>        http://impactfactor.cn/2024/ifr/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing网络公开度<br>        http://impactfactor.cn/2024/at/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing网络公开度学科排名<br>        http://impactfactor.cn/2024/atr/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing被引频次<br>        http://impactfactor.cn/2024/tc/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing被引频次学科排名<br>        http://impactfactor.cn/2024/tcr/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing年度引用<br>        http://impactfactor.cn/2024/ii/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing年度引用学科排名<br>        http://impactfactor.cn/2024/iir/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing读者反馈<br>        http://impactfactor.cn/2024/5y/?ISSN=BK0388551<br><br>        <br><br>书目名称Green, Pervasive, and Cloud Computing读者反馈学科排名<br>        http://impactfactor.cn/2024/5yr/?ISSN=BK0388551<br><br>        <br><br>

亲爱 发表于 2025-3-21 20:30:32

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Confound 发表于 2025-3-22 03:39:04

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Mhc-Molecule 发表于 2025-3-22 08:29:06

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高度表 发表于 2025-3-22 12:01:47

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anchor 发表于 2025-3-22 15:36:40

: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancementned popularity in recommendation tasks due to their ability to capture high-order interactions between users and items. However, privacy concerns prevent the global sharing of the entire user-item graph. To address this limitation, some methods create pseudo-interacted items or users in the graph to

anchor 发表于 2025-3-22 20:22:21

Efficient and Reliable Federated Recommendation System in Temporal Scenariosndation models that match the performance of centralized models while preserving user privacy. Existing federated recommendation models primarily rely on static relational data, overlooking the temporal patterns that dynamically evolve over time. In domains like travel recommendations, factors such

hereditary 发表于 2025-3-23 00:19:07

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CLAN 发表于 2025-3-23 02:52:04

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BUCK 发表于 2025-3-23 06:33:17

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