Paper Citation Record · LEDGER

A Federated Random Forest Solution for Secure Distributed Machine Learning

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.08085.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.08085 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:07:02.542974Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 019cb5d5-c963-48a1-8f4e-799092e3d1a6 · outbound

This paper cites BIT. UA at IDPP: predictive analytics on ALS disease progression using sensor data with machine learning,.

A Federated Random Forest Solution for Secure Distributed Machine Learning BIT. UA at IDPP: predictive analytics on ALS disease progression using sensor data with machine learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.134730Z

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Observation 1a11a036-13a1-46da-babc-c2e239082eac · outbound

This paper cites Federated machine learning: Concept and applications,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated machine learning: Concept and applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.117815Z

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Observation 9b5e7287-a8c6-4f2a-aed7-f71f97841ff9 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.101237Z

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Observation df5f6882-cb7f-4691-a7a6-31340d36c6be · outbound

This paper cites Random forests,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Random forests,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.085869Z

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Observation fc288dff-8e43-44a5-80d7-5f4a0ce6efca · outbound

This paper cites Federated learning to comply with data protection regulations,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated learning to comply with data protection regulations,

Reference 5

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Observation 93fef6e4-16f7-482c-aeb8-2c2fdd3195d3 · outbound

This paper cites A Ma- chine Learning Approach to Aids Clinical Trials Group (Actg) Study,.

A Federated Random Forest Solution for Secure Distributed Machine Learning A Ma- chine Learning Approach to Aids Clinical Trials Group (Actg) Study,

Reference 6

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Observation 34d4f7af-6d2e-41b8-b9b9-09467d499e07 · outbound

This paper cites Fed- erated learning: Challenges, methods, and future directions,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Fed- erated learning: Challenges, methods, and future directions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.053990Z

Source-reported events for the cited work

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Observation 08c23671-e826-4fd8-9ced-48f323073c6f · outbound

This paper cites A generic framework for privacy preserving deep learning.

A Federated Random Forest Solution for Secure Distributed Machine Learning A generic framework for privacy preserving deep learning

Reference 8

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This paper cites Towards federated learning at scale: System design,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Towards federated learning at scale: System design,

Reference 9

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Observation 76789dc6-b497-42ef-81ef-a4b9cb735616 · outbound

This paper cites The future of digital health with federated learning. NPJ Digital Medicine, 3, 119,.

A Federated Random Forest Solution for Secure Distributed Machine Learning The future of digital health with federated learning. NPJ Digital Medicine, 3, 119,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.020662Z

Source-reported events for the cited work

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This paper cites Federated Learning: Opportunities and Challenges.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated Learning: Opportunities and Challenges

Reference 11

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Source-reported events for the cited work

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Observation 8a9ee61d-0abb-4ee6-b26d-d24d62c4f444 · outbound

This paper cites Federated personal- ized random forest for human activity recognition,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated personal- ized random forest for human activity recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:03.002802Z

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Observation 308ba635-4f17-476c-85b0-b54572031f23 · outbound

This paper cites Transfer learning via random forests: A one-shot federated approach,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Transfer learning via random forests: A one-shot federated approach,

Reference 13

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Observation 4c82fc9b-efb5-4501-95ab-e0c7090ff0a4 · outbound

This paper cites COMMUTE: communication- efficient transfer learning for multi-site risk prediction,.

A Federated Random Forest Solution for Secure Distributed Machine Learning COMMUTE: communication- efficient transfer learning for multi-site risk prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.968072Z

Source-reported events for the cited work

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Observation 1b015652-285b-4b5b-8319-cc0e1f3f5574 · outbound

This paper cites Differentially private secure multi-party computation for federated learning in financial applications,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Differentially private secure multi-party computation for federated learning in financial applications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.947821Z

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Observation df0939b9-0ea0-42e7-9652-cc917b69faa9 · outbound

This paper cites Can a trusted environment provide security?,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Can a trusted environment provide security?,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.931070Z

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Observation 5f59dda0-cf49-4a4e-9df9-30e6327f0511 · outbound

This paper cites Trusted execution environment: What it is, and what it is not,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Trusted execution environment: What it is, and what it is not,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.915379Z

Source-reported events for the cited work

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Observation 29d32c60-4bb6-4751-afc9-5e2873be935c · outbound

This paper cites Xgboost: A scalable tree boosting system,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Xgboost: A scalable tree boosting system,

Reference 18

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Source-reported events for the cited work

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Observation 9b92012d-9a8f-4cbf-8b34-a4192d99861d · outbound

This paper cites A unified approach to interpreting model predictions,.

A Federated Random Forest Solution for Secure Distributed Machine Learning A unified approach to interpreting model predictions,

Reference 19

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Observation 383180a9-f97b-4528-bb9f-4043231be274 · outbound

This paper cites ” Why should i trust you?.

A Federated Random Forest Solution for Secure Distributed Machine Learning ” Why should i trust you?

Reference 20

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This paper cites Why do tree- based models still outperform deep learning on typical tabular data?,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Why do tree- based models still outperform deep learning on typical tabular data?,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.849662Z

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Observation 86c8f8fd-b192-49d0-a72e-7a01e38261fd · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 22

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This paper cites A survey on security and privacy of federated learning,.

A Federated Random Forest Solution for Secure Distributed Machine Learning A survey on security and privacy of federated learning,

Reference 23

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Observation 22de6127-5600-4aef-903c-8942a102e043 · outbound

This paper cites Open-source federated learning frameworks for IoT: A comparative review and analysis,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Open-source federated learning frameworks for IoT: A comparative review and analysis,

Reference 24

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A Federated Random Forest Solution for Secure Distributed Machine Learning OpenFL: An open-source framework for Federated Learning

Reference 25

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This paper cites Federated random forests can improve local per- formance of predictive models for various healthcare applications,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Federated random forests can improve local per- formance of predictive models for various healthcare applications,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.802229Z

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This paper cites Neural natural language pro- cessing for unstructured data in electronic health records: a review,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Neural natural language pro- cessing for unstructured data in electronic health records: a review,

Reference 27

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Observation 659aa9fb-9a68-4dab-801f-f95075ce571f · outbound

This paper cites Towards reverse- engineering black-box neural networks,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Towards reverse- engineering black-box neural networks,

Reference 28

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Observation 608fc7fa-bf2e-49e0-b819-c84d10ce8628 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

A Federated Random Forest Solution for Secure Distributed Machine Learning Flower: A Friendly Federated Learning Research Framework

Reference 29

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This paper cites Fate: An industrial grade platform for collaborative learning with data protection,.

A Federated Random Forest Solution for Secure Distributed Machine Learning Fate: An industrial grade platform for collaborative learning with data protection,

Reference 30

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A Federated Random Forest Solution for Secure Distributed Machine Learning Tackling system and statistical heterogeneity for federated learning with adaptive client sampling,

Reference 31

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This paper cites An effective inte- grated machine learning approach for detecting diabetic retinopathy,.

A Federated Random Forest Solution for Secure Distributed Machine Learning An effective inte- grated machine learning approach for detecting diabetic retinopathy,

Reference 32

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Observation d9e05963-b068-4139-93c7-c3e3add86a8d · outbound

This paper cites FedTree: A Fast, Effective, and Secure Tree- based Federated Learning System,.

A Federated Random Forest Solution for Secure Distributed Machine Learning FedTree: A Fast, Effective, and Secure Tree- based Federated Learning System,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:07:02.703154Z

Source-reported events for the cited work

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Observation 8d60c5fc-d42a-430f-8e63-4d45b2166216 · outbound

This paper cites NVIDIA FLARE: Federated Learning from Simulation to Real-World.

A Federated Random Forest Solution for Secure Distributed Machine Learning NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.