Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:43:57.583653Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.01141.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:43:57.583653Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 42165bfb-6f3f-4f7f-a0d6-2ae8293a4c84 · outbound
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Reference 1
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 2
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 3
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 4
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 5
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Reference 10
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 12
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Reference 13
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 14
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Reference 15
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 16
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 17
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 18
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 19
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Reference 20
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Reference 21
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Federated Learning: Strategies for Improving Communication Efficiency
Reference 22
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 23
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 24
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Lagendijk, Zekeriya Erkin, and Mauro Barni
Reference 25
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Reference 26
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 27
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Federated Recommendation with Additive Personalization
Reference 28
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 29
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 30
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 31
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Reference 32
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 33
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 34
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 35
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 36
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 37
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 38
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 40
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Reference 41
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Reference 42
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 43
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 44
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
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Reference 50
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 51
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 52
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 53
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 54
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 56
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Reference 57
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Reference 58
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Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation Unresolved cited work
Reference 60
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No inbound Pith citation observations are available.