Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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Special topic on cloud-edge collaboration for on-device recommendation
Yin H Z, Cui B, Zhou X F, et al
Sci China Inf Sci, 2025, 68(4): 140100
Cite as: Yin H Z, Cui B, Zhou X F, et al. Special topic on cloud-edge collaboration for on-device recommendation. Sci China Inf Sci, 2025, 68(4): 140100, doi: 10.1007/s11432-025-4334-2

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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A survey on cross-user federated recommendation
Yang E Y, Xiong Y D, Yuan W, et al
Sci China Inf Sci, 2025, 68(4): 140101
Keywords: cross-user federated recommendation; federated recommendation; federated learning; recommender systems; user privacy
Cite as: Yang E Y, Xiong Y D, Yuan W, et al. A survey on cross-user federated recommendation. Sci China Inf Sci, 2025, 68(4): 140101, doi: 10.1007/s11432-024-4310-7

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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On-device diagnostic recommendation with heterogeneous federated BlockNets
Nguyen M H, Huynh T T, Nguyen T T, et al
Sci China Inf Sci, 2025, 68(4): 140102
Keywords: intelligent recommendation; federated learning; heterogeneous devices; E-health diagnostics
Cite as: Nguyen M H, Huynh T T, Nguyen T T, et al. On-device diagnostic recommendation with heterogeneous federated BlockNets. Sci China Inf Sci, 2025, 68(4): 140102, doi: 10.1007/s11432-024-4162-2

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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Robust federated contrastive recommender system against targeted model poisoning attack
Yuan W, Yang C Q, Qu L, et al
Sci China Inf Sci, 2025, 68(4): 140103
Keywords: federated recommender system; contrastive learning; model poisoning attack and defense
Cite as: Yuan W, Yang C Q, Qu L, et al. Robust federated contrastive recommender system against targeted model poisoning attack. Sci China Inf Sci, 2025, 68(4): 140103, doi: 10.1007/s11432-024-4272-y

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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Privacy-preserving recommendation with coarse-grained spatiotemporal contexts
Chen L, Gao C, Lei J H, et al
Sci China Inf Sci, 2025, 68(4): 140104
Keywords: privacy-preserveing; coarse-grained spatiotemporal contexts; recommender systems
Cite as: Chen L, Gao C, Lei J H, et al. Privacy-preserving recommendation with coarse-grained spatiotemporal contexts. Sci China Inf Sci, 2025, 68(4): 140104, doi: 10.1007/s11432-024-4327-9

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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Coarse-to-fine lightweight meta-embedding for ID-based recommendations
Wang Y, Liu H P, Yi Z Q, et al
Sci China Inf Sci, 2025, 68(4): 140105
Keywords: lightweight meta-embedding; coarse-to-fine learning; ID-based recommendations
Cite as: Wang Y, Liu H P, Yi Z Q, et al. Coarse-to-fine lightweight meta-embedding for ID-based recommendations. Sci China Inf Sci, 2025, 68(4): 140105, doi: 10.1007/s11432-024-4350-9

Special Topic: Cloud-Edge Collaboration for On-Device Recommendation
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PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems
Wang F, Zhang X Y, Liu W M, et al
Sci China Inf Sci, 2025, 68(4): 140106
Keywords: federated learning; knowledge graph; personalization; semantic discovery; decentralized recommendation systems
Cite as: Wang F, Zhang X Y, Liu W M, et al. PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems. Sci China Inf Sci, 2025, 68(4): 140106, doi: 10.1007/s11432-024-4338-4