gratuity
发表于 2025-3-21 16:57:30
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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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