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Paper Citation Record · LEDGER

Federated Learning Architecture: Data Privacy and System Security Approaches

As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.09391.

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

pith.paper-citation-record.v1
2607.09391 v1

Coverage vector

measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-13T03:22:21.785297Z

measured 46 of 46 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation b33a9427-6b80-4805-9064-02df6d061aee · outbound

This paper cites an unresolved cited work.

Federated Learning Architecture: Data Privacy and System Security Approaches Unresolved cited work

Reference 1

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Observation c556e97d-130c-4cec-aed7-3a7f8e46d0f0 · outbound

This paper cites De- centralized disease prediction: A federated learning perspective.Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, (Advanced Online Publication):337–353, 2026.

Federated Learning Architecture: Data Privacy and System Security Approaches De- centralized disease prediction: A federated learning perspective.Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, (Advanced Online Publication):337–353, 2026

Reference 2

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Observation db691294-213e-4c68-aaf3-b69fb899ca79 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 3

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Observation 5db36587-06fe-419d-a55c-5d362cdb3920 · outbound

This paper cites Federated learning in intrusion detection: advancements, applications, and future directions.Cluster Computing, 28(7):473, 2025.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated learning in intrusion detection: advancements, applications, and future directions.Cluster Computing, 28(7):473, 2025

Reference 4

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Observation c0bb9d22-e040-4fe2-86bc-d5d90400f5cc · outbound

This paper cites Differential privacy in federated learning: Mitigating inference attacks with randomized response.arXiv preprint arXiv:2509.13987, 2025.

Federated Learning Architecture: Data Privacy and System Security Approaches Differential privacy in federated learning: Mitigating inference attacks with randomized response.arXiv preprint arXiv:2509.13987, 2025

Reference 5

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Observation 11f8b749-1d27-4594-96c3-08471491f4ee · outbound

This paper cites A survey on homomorphic encryption schemes: Theory and implementation.ACM Computing Surveys (Csur), 51(4):1–35, 2018.

Federated Learning Architecture: Data Privacy and System Security Approaches A survey on homomorphic encryption schemes: Theory and implementation.ACM Computing Surveys (Csur), 51(4):1–35, 2018

Reference 6

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Observation 8c4c861b-5f5c-48f4-a4e9-c97fd17ac1ff · outbound

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Federated Learning Architecture: Data Privacy and System Security Approaches Unresolved cited work

Reference 7

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Observation 77dbc9c2-c157-44c0-8583-cc57ea8bede2 · outbound

This paper cites Homomorphic encryption.Procedia Computer Science, 20:502–509, 2013.

Federated Learning Architecture: Data Privacy and System Security Approaches Homomorphic encryption.Procedia Computer Science, 20:502–509, 2013

Reference 8

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Observation 53cb9e90-8ba0-4991-b951-1535f7b45c74 · outbound

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Federated Learning Architecture: Data Privacy and System Security Approaches Unresolved cited work

Reference 9

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Observation 43a3e4e1-4af3-4dce-9f53-b21c189850bb · outbound

This paper cites Enhancing employee retention prediction through federated learning and associative classification using fedcba: A case study on ibm hr analytics.

Federated Learning Architecture: Data Privacy and System Security Approaches Enhancing employee retention prediction through federated learning and associative classification using fedcba: A case study on ibm hr analytics

Reference 10

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Observation 7b5edce5-1a23-4193-8374-d97b28c221dc · outbound

This paper cites The framingham heart study and the epidemiology of cardiovascular disease: a historical perspective.The lancet, 383(9921):999–1008, 2014.

Federated Learning Architecture: Data Privacy and System Security Approaches The framingham heart study and the epidemiology of cardiovascular disease: a historical perspective.The lancet, 383(9921):999–1008, 2014

Reference 11

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Observation 8c57f468-9ce6-4234-b5bb-743d445d5af8 · outbound

This paper cites Using the adap learning algorithm to forecast the onset of diabetes mellitus.

Federated Learning Architecture: Data Privacy and System Security Approaches Using the adap learning algorithm to forecast the onset of diabetes mellitus

Reference 12

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Observation dd54b556-bc0a-4640-9076-b461b8afb4f3 · outbound

This paper cites Federated learning: Challenges, methods, and future directions.IEEE signal processing magazine, 37(3):50–60, 2020.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated learning: Challenges, methods, and future directions.IEEE signal processing magazine, 37(3):50–60, 2020

Reference 13

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Observation 2425fcee-81a7-4ca9-8115-54b2d49663fb · outbound

This paper cites Federated learning for healthcare informatics.Journal of healthcare informatics research, 5(1):1–19, 2021.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated learning for healthcare informatics.Journal of healthcare informatics research, 5(1):1–19, 2021

Reference 14

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Observation 85257c50-9737-4416-8ca4-909fa34df9b1 · outbound

This paper cites Privacy in Federated Learning.

Federated Learning Architecture: Data Privacy and System Security Approaches Privacy in Federated Learning

Reference 15

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Observation 5aa96cb1-3fe2-4a66-9abc-14e3dc03011f · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Federated Learning Architecture: Data Privacy and System Security Approaches Communication- efficient learning of deep networks from decentralized data

Reference 16

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Observation 38bffb1c-1649-4127-bb8c-63e1b2ef2cf6 · outbound

This paper cites Towards federated learning at scale: System design.Proceedings of machine learning and systems, 1:374–388, 2019.

Federated Learning Architecture: Data Privacy and System Security Approaches Towards federated learning at scale: System design.Proceedings of machine learning and systems, 1:374–388, 2019

Reference 17

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Observation 75fc7f89-1bb9-4c75-a0ee-42a97171799a · outbound

This paper cites Advances and open problems in federated learning.Foundations and trends in machine learning, 14(1-2):1–210, 2021.

Federated Learning Architecture: Data Privacy and System Security Approaches Advances and open problems in federated learning.Foundations and trends in machine learning, 14(1-2):1–210, 2021

Reference 18

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Observation c95b8113-965b-45ff-806c-cb8422312104 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated Learning for Mobile Keyboard Prediction

Reference 19

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Observation 4af57ab8-c09f-4b57-8d6e-9e5174382c89 · outbound

This paper cites Privacy preserving machine learning with homomorphic encryption and federated learning.Future Internet, 13(4):94, 2021.

Federated Learning Architecture: Data Privacy and System Security Approaches Privacy preserving machine learning with homomorphic encryption and federated learning.Future Internet, 13(4):94, 2021

Reference 20

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Observation 639da25f-c210-43be-9454-36a84c363762 · outbound

This paper cites Hetal: Efficient privacy-preserving transfer learning with homomorphic encryption.

Federated Learning Architecture: Data Privacy and System Security Approaches Hetal: Efficient privacy-preserving transfer learning with homomorphic encryption

Reference 21

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Observation af4bb25d-a0e6-42d5-a3be-0d404d3e893c · outbound

This paper cites FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users.

Federated Learning Architecture: Data Privacy and System Security Approaches FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users

Reference 22

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Observation 0838f6b6-c9d1-4925-8616-7bfb18c2c2dd · outbound

This paper cites Simple encrypted arithmetic library-seal v2.

Federated Learning Architecture: Data Privacy and System Security Approaches Simple encrypted arithmetic library-seal v2

Reference 23

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Observation a39ff768-89e3-43b5-9917-c9c629dbcc5d · outbound

This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy.

Federated Learning Architecture: Data Privacy and System Security Approaches Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 24

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:ccf1f07d96ced0e937f566f1f01f6d7a684d9857a7de35bb9a3ce1d265a3900e

Observation 58364ffa-f777-454a-ac62-3a6e15f3980a · outbound

This paper cites Nonminimal inflation in supersymmetric guts with u (1) r× z n symmetry.International Journal of Modern Physics D, 28(16):2040015, 2019.

Federated Learning Architecture: Data Privacy and System Security Approaches Nonminimal inflation in supersymmetric guts with u (1) r× z n symmetry.International Journal of Modern Physics D, 28(16):2040015, 2019

Reference 25

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Observation 30bc1dfe-d894-41ec-8c18-019759441a11 · outbound

This paper cites Training of Deep Learning Neuro-Skin Neural Network.

Federated Learning Architecture: Data Privacy and System Security Approaches Training of Deep Learning Neuro-Skin Neural Network

Reference 26

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Observation 8d3fad9d-5154-4259-9351-26bd9181aa3c · outbound

This paper cites Certifying Safety when Implementing Consensus.

Federated Learning Architecture: Data Privacy and System Security Approaches Certifying Safety when Implementing Consensus

Reference 27

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Observation 7c87ee2f-b1a4-4290-ba0a-fbb189671c99 · outbound

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Federated Learning Architecture: Data Privacy and System Security Approaches Unresolved cited work

Reference 28

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Observation ffddca2f-2eb0-47e4-91c5-a426b068409e · outbound

This paper cites Statistically and computationally efficient change point localization in regression settings.Journal of Machine Learning Research, 22(248):1–46, 2021.

Federated Learning Architecture: Data Privacy and System Security Approaches Statistically and computationally efficient change point localization in regression settings.Journal of Machine Learning Research, 22(248):1–46, 2021

Reference 29

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Observation 0bb815ac-e1d8-46c0-b668-43277d6380d2 · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers.

Federated Learning Architecture: Data Privacy and System Security Approaches Homomorphic encryption for arithmetic of approximate numbers

Reference 30

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Observation ce8fa87e-5376-49c1-8377-757d4961345e · outbound

This paper cites Derin ö ˘grenmede diferansiyel mahremiyet.Uluslararası Bilgi Güvenli˘ gi Mühendisli˘ gi Dergisi, 6(1):1–16, 2020.

Federated Learning Architecture: Data Privacy and System Security Approaches Derin ö ˘grenmede diferansiyel mahremiyet.Uluslararası Bilgi Güvenli˘ gi Mühendisli˘ gi Dergisi, 6(1):1–16, 2020

Reference 31

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Observation ddadc17b-2e77-4d60-98f9-380742c72d55 · outbound

This paper cites Aerogel-based metasurfaces for perfect acoustic energy absorption.Applied Physics Letters, 115(6), 2019.

Federated Learning Architecture: Data Privacy and System Security Approaches Aerogel-based metasurfaces for perfect acoustic energy absorption.Applied Physics Letters, 115(6), 2019

Reference 32

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:72f22108c9e6944e31721f8024c97ddaebb406055c69c59daf883ffca51cc6df

Observation 6d23cf7f-bcaf-4ad9-8c8b-0509c5077d86 · outbound

This paper cites Swift homomorphic encryption.

Federated Learning Architecture: Data Privacy and System Security Approaches Swift homomorphic encryption

Reference 33

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Observation ac6c18ac-3349-49bf-a7db-a81eec96475d · outbound

This paper cites A hybrid approach to privacy-preserving federated learning.

Federated Learning Architecture: Data Privacy and System Security Approaches A hybrid approach to privacy-preserving federated learning

Reference 34

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:0729c4165538da6ee63ac58c6d5d25f940d5beb8d3eed3a98d2187ce8b931976

Observation 8ed0e405-9a4a-489d-9d53-767c766f4dd0 · outbound

This paper cites Credit scoring through machine learning performance evaluation.Multidisci- plinary Joint Akseprin Journal, 1(2):01–08, 2023.

Federated Learning Architecture: Data Privacy and System Security Approaches Credit scoring through machine learning performance evaluation.Multidisci- plinary Joint Akseprin Journal, 1(2):01–08, 2023

Reference 35

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Observation b8ff8f70-4ecc-44a3-8740-3558db126f18 · outbound

This paper cites Federated machine learning: Concept and applications.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated machine learning: Concept and applications

Reference 36

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Observation 77a37259-52f0-4032-8ccf-75f4391626ab · outbound

This paper cites Heart disease prediction using logistic regression.

Federated Learning Architecture: Data Privacy and System Security Approaches Heart disease prediction using logistic regression

Reference 37

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Observation 020d49dc-6d6f-42d6-9e53-6ff612380d60 · outbound

This paper cites Algorithms in helib.

Federated Learning Architecture: Data Privacy and System Security Approaches Algorithms in helib

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:8c85dd5b5f3a9f242470bc8c14e426d7cfa621f4460ae26cf87e873f9ac60aab

Observation 79dbc328-d086-4f1e-9d08-0e3ec8f3c0dc · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Federated Learning Architecture: Data Privacy and System Security Approaches Calibrating noise to sensitivity in private data analysis

Reference 39

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:fbc0503cc1a07afe0f7fafb347c84191c96d4c84e1a7717700ac571252252dc3

Observation 8da321b4-c4e1-4f09-9cfe-fe75755307b9 · outbound

This paper cites The algorithmic foundations of differential privacy.Foundations and trends® in theoretical computer science, 9(3-4):211–487, 2014.

Federated Learning Architecture: Data Privacy and System Security Approaches The algorithmic foundations of differential privacy.Foundations and trends® in theoretical computer science, 9(3-4):211–487, 2014

Reference 40

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:9f37da657196e0c53d8514df63c4b8dcc2be08e3b12681c06e13b60db1d5ff7b

Observation 5193c0a4-3659-4bfb-a46e-f41d8184e10f · outbound

This paper cites The us census bureau adopts differential privacy.

Federated Learning Architecture: Data Privacy and System Security Approaches The us census bureau adopts differential privacy

Reference 41

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:08a23076c9e44089ac1a210effbb04f7fd31161e9483f6836ba1a6013bd21ac5

Observation 0f14ff68-0152-4afe-855e-8e6bd7766e17 · outbound

This paper cites Ssdbfan: Scalable and secure cluster-based data aggregation with blockchain for flying ad hoc networks.Sensors, 26(9):2585, 2026.

Federated Learning Architecture: Data Privacy and System Security Approaches Ssdbfan: Scalable and secure cluster-based data aggregation with blockchain for flying ad hoc networks.Sensors, 26(9):2585, 2026

Reference 42

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no resolver link, observed 2026-07-13T03:22:21.785297Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:7b56325ad927f72131b41ee2a38e7bae42f986f2471fa849d1e20fd5840240ef

Observation f5af259b-3e06-4477-94ea-78b03d79ee7d · outbound

This paper cites Zero-knowledge federated learning for privacy-preserving 5g authentication.Computers, 15(4):206, 2026.

Federated Learning Architecture: Data Privacy and System Security Approaches Zero-knowledge federated learning for privacy-preserving 5g authentication.Computers, 15(4):206, 2026

Reference 43

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no resolver link, observed 2026-07-13T03:22:21.785297Z

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:df4c1afd72d638cf06ad27b1bf0e1e1c7bec65142f815929bd9933b6a6ecef84

Observation 5a94dd6a-b330-40b0-944a-b8b4d7178edb · outbound

This paper cites an unresolved cited work.

Federated Learning Architecture: Data Privacy and System Security Approaches Unresolved cited work

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:24c9c83b9defa27fdb6501eb9ab6a6f0bcc290d54a0a721a6f65c04845733ccb

Observation acef3bd6-aa1e-4b18-991d-d41e2722f34e · outbound

This paper cites Efficiency optimization techniques in privacy-preserving federated learning with homomorphic encryption: A brief survey.IEEE Internet of Things Journal, 11(14):24569–24580, 2024.

Federated Learning Architecture: Data Privacy and System Security Approaches Efficiency optimization techniques in privacy-preserving federated learning with homomorphic encryption: A brief survey.IEEE Internet of Things Journal, 11(14):24569–24580, 2024

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:934b3e02e20f003c384b0208bcff54701ebb20212c4ffab8cef74416fee032fb

Observation 6808e3fa-06d6-4865-a197-d8def9bdcd01 · outbound

This paper cites An investiga- tion and performance evaluation of aggregation algorithms in federated learning architecture.

Federated Learning Architecture: Data Privacy and System Security Approaches An investiga- tion and performance evaluation of aggregation algorithms in federated learning architecture

Reference 46

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source=pdf_text observed=2026-07-13T03:22:21.785297Z digest=sha256:940f11e72b71c2eb1c9e640af125eb5cf3aa4ae857aceb96d31f3f77e7e53977

Pith citing papers

No inbound Pith citation observations are available.