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Source: paper_references, paper_reference_links, observed 2026-08-03T08:21:31.970135Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2601.17512.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-03T08:21:31.970135Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
56 of 56 outbound references displayed
External citation measurements
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Observation 75742260-2451-4028-9c61-c5a576085aed · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated machine learning: Concept and applications,
Reference 1
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Observation 6196004d-ce60-4397-8207-2e236e6746ef · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data FedDual: Pair-wise gossip helps federated learning in large decentralized networks,
Reference 2
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Observation 820933a7-ef6c-447c-b768-01f604d02eef · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data FedForgery: Generalized face forgery detection with residual federated learning,
Reference 3
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Observation ac547b7e-280e-425a-93a2-8969c2527a51 · outbound
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Reference 4
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Observation ede58c09-7c3f-4dcd-abce-3fb1899ac2af · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data PFLF: Privacy-preserving federated learning framework for edge computing,
Reference 5
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Observation 558c0587-68b8-4ae2-94ec-83eedc950031 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Prototype similarity distillation for communication-efficient federated unsupervised representation learn- ing,
Reference 6
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Observation 8f274f5b-6363-4734-a7ac-89bf10055b51 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Privacy-preserving federated learning with malicious clients and honest-but-curious servers,
Reference 7
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Observation da0767e9-16c3-404d-a42c-b147992fb0ff · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated learning with hierarchical clustering of local updates to improve training on non-IID data,
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Observation e00b7eb0-04ca-4089-b705-3b1ca3f67b2f · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Adaptive clustering-based personalized federated learning framework for next POI recommendation with loca- tion noise,
Reference 9
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Observation b4c8c66f-363d-43be-8c85-d4d8d8191445 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data FedAPEN: Personalized cross- silo federated learning with adaptability to statistical heterogeneity,
Reference 10
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Observation 1d7e08ce-6187-45de-b2fc-0f791890599b · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Lightweight privacy-preserving cross- cluster federated learning with heterogeneous data,
Reference 11
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Observation 78261b48-da9a-4a63-9334-0c651c8fe130 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data A survey on federated learning systems: Vision, hype and reality for data privacy and protection,
Reference 12
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Observation 8bf1eb81-7201-4fd4-8e03-ac9cea108ab3 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated learning on non-IID data silos: An experimental study,
Reference 13
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Observation 2a421f2f-7bad-4419-8ac7-2112527cbb8b · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated multi-view spectral cluster- ing,
Reference 14
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Observation 04dd0eda-054a-46c5-8e57-76e5b5451e8f · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated learning approach for spectral clustering,
Reference 15
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Observation 33d96ce0-b903-4354-ac35-c9375e73f5e6 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated spectral clustering via secure similarity reconstruction,
Reference 16
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Observation 32c76535-352c-4987-b989-c108c4d2fdd5 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)
Reference 17
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Observation fe082840-c41c-4a91-b9f8-7ef03288916d · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated FCM: Clustering under privacy requirements,
Reference 18
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Observation 215d80f8-e512-428e-a8f4-07903178f30e · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data K-means clustering with local d-privacy for privacy-preserving data analysis,
Reference 19
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Observation a84c7cc5-2e49-481b-a613-274754155abf · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Heterogeneity for the win: One- shot federated clustering,
Reference 20
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Observation 139ff9fa-c00f-42ba-b967-2aa9e8266271 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Fed-SC: One-shot federated subspace clustering over high-dimensional data,
Reference 21
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Observation b92d43b4-e12f-4f0b-a67d-da14c049ee94 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data One-shot secure federated k- means clustering based on density cores,
Reference 22
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Observation 648f5c95-1394-4c79-a6ee-70305a1a9ae1 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Machine unlearning of federated clus- ters,
Reference 23
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Observation cdd88e11-9565-4f67-9714-7218f77f53d8 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated Matrix Factorization: Algorithm Design and Application to Data Clustering
Reference 24
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Observation 917deaff-e36f-4d53-9c7f-e306af208242 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated k-means clustering: A novel edge AI-based approach for privacy preservation,
Reference 25
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Observation 34fa6334-5a0c-42d3-b35b-74a47ee3081a · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated fuzzy clustering for decentralized incomplete longitudinal behavioral data,
Reference 26
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Observation ac6d25cc-8ef5-417f-b295-07a0c852ce5b · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data One-shot federated clustering based on stable distance relationships,
Reference 27
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Observation 5e40035e-6d5c-4221-885a-016c495f0c97 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Differentially private federated clustering over non-IID data,
Reference 28
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Observation 931b2af6-a927-4d1b-813b-9847e12346cb · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,
Reference 29
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Observation a77d1fb1-2c37-4649-9d94-50b9bc36d07d · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data An efficient framework for clustered federated learning,
Reference 30
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Observation 65d3af42-c46b-463d-ab48-e4ad14b1353b · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated unsupervised clus- tering with generative models,
Reference 31
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Observation c93df468-1c44-4da7-84b9-aa715ed35149 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated learning with soft cluster- ing,
Reference 32
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Observation b1933c71-66da-496e-9b83-d181cf607869 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data FedUC: A unified clustering approach for hierarchical federated learning,
Reference 33
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Observation d4b6f585-96a0-4f18-918c-5d8624960237 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Adaptive micro-partition and hierarchical merging for accurate mixed data clustering,
Reference 34
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Observation cbac583d-e98a-49f9-877b-7bcbe2f54a47 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Sdenk: Unbiased subspace density-k-clustering,
Reference 35
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Observation 01db0242-0542-4778-98b6-3569ea81c3d3 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated hierarchical clus- tering with automatic selection of optimal cluster numbers,
Reference 36
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Observation 6277b165-4755-4d68-a524-4449d1b48a4e · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Significance-based decision tree for interpretable categorical data clustering,
Reference 37
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Observation 74cd5253-74cc-419f-9393-548d2e9263e6 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Asynchronous federated clustering with unknown number of clusters,
Reference 38
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Observation 1370e01a-bc67-4b47-877d-dcdbbf6aafb7 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Learning self-growth maps for fast and accurate imbalanced streaming data clustering,
Reference 39
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Observation 88dc2752-eb75-45e9-887e-0f630f1c4580 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Robust categorical data clustering guided by multi-granular competitive learning,
Reference 40
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Observation 7d051727-20ca-4add-a3e3-44c30af9f5b6 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Multimodal generative learning utilizing jensen-shannon-divergence,
Reference 41
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Observation 87fe35a8-0725-4078-91d3-f03bee7cfbc4 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Fast & accurate Gaussian kernel density estimation,
Reference 42
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Observation fa782dd7-86da-4194-b54e-35892c92222a · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Reference 43
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Observation 959629a0-1496-4e8e-a925-6632648b3b7a · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection,
Reference 44
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Observation b0492e74-64b7-4df4-821e-5d4af1135960 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Spatio-temporal diffusion point processes,
Reference 45
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Observation 57e220f0-9465-476c-b86c-b1b28154d51a · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Anomaly detection with score distribution discrimination,
Reference 46
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Observation f37f9e6a-9adf-4136-a95a-cd8fa4fabaad · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Inter-node hellinger distance based decision tree,
Reference 47
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Observation 0498f6cd-df46-4f91-b319-468b852de95d · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Detecting V oIP floods using the hellinger distance,
Reference 48
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Observation d0312a3f-12a4-474e-90b4-776b5285145f · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data A survey on homomorphic encryption schemes: Theory and implementation,
Reference 49
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Observation af35301d-dbeb-42a8-a3a5-44c0889dc063 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Federated learning with differential privacy: Algorithms and performance analysis,
Reference 50
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Observation b9d76367-150a-45fa-8bfb-ae7277ba5a0a · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Automated variable weighting in k-means type clustering,
Reference 51
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Observation 4228f3a5-72e6-4ed0-8ae7-e139941756a5 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Comparing partitions,
Reference 52
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Observation 13b381ef-481f-4ab9-86ca-fef6264253fa · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Cluster ensembles: A knowledge reuse frame- work for combining multiple partitions,
Reference 53
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Observation ad44f768-de69-4d81-bf99-8e15fbd89a75 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,
Reference 54
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Observation e8b8d171-db1a-4650-aee3-5dc034b5de43 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data A dendrite method for cluster analysis,
Reference 55
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Observation 1d962597-5bd3-4971-99e4-a1c849cb8f90 · outbound
One-Shot Federated Clustering of Non-Independent Completely Distributed Data AR(ST)” row summarizes the average rank of each method across all datasets, and the symbol “(+)
Reference 2023
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No inbound Pith citation observations are available.