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書目名稱Green, Pervasive, and Cloud Computing影響因子(影響力)




書目名稱Green, Pervasive, and Cloud Computing影響因子(影響力)學(xué)科排名




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書目名稱Green, Pervasive, and Cloud Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Green, Pervasive, and Cloud Computing被引頻次




書目名稱Green, Pervasive, and Cloud Computing被引頻次學(xué)科排名




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書目名稱Green, Pervasive, and Cloud Computing年度引用學(xué)科排名




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書目名稱Green, Pervasive, and Cloud Computing讀者反饋學(xué)科排名

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: 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

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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

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