Paper Citation Record · LEDGER

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2509.25906.

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

pith.paper-citation-record.v1
2509.25906 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:45:04.770557Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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

45 of 45 outbound references displayed

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verified fuzzy0
unresolved45
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External citation measurements

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Outbound references

Observation 380cc082-3f55-4bb7-bc52-62066c694e64 · outbound

This paper cites On safeguarding privacy and security in the framework of federated learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation On safeguarding privacy and security in the framework of federated learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.153994Z

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Observation 8c5cf39b-9c1c-41f5-9dc5-dede8cbeedfc · outbound

This paper cites Differentially private federated stochastic primal-dual learning for internet of vehicles,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Differentially private federated stochastic primal-dual learning for internet of vehicles,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.234861Z

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Observation b37c63d4-c621-4836-b070-9229abb7e650 · outbound

This paper cites FedPD: A federated learning framework with adaptivity to non-IID data,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation FedPD: A federated learning framework with adaptivity to non-IID data,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.361908Z

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Observation 51da869d-7b1a-4930-bb2f-898d14f267fa · outbound

This paper cites On the convergence of FedAvg on non-IID data,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation On the convergence of FedAvg on non-IID data,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.392372Z

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Observation cf9b570d-9620-49b3-bf5c-6d9ea3460463 · outbound

This paper cites Differentially private and heterogeneity-robust federated learning with theoretical guarantee,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Differentially private and heterogeneity-robust federated learning with theoretical guarantee,

Reference 6

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Observation 96663dc6-20a4-4a14-839e-a5c9f769fa34 · outbound

This paper cites Privacy-preserving federated primal-dual learning for non-convex and non-smooth problems with model sparsification,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy-preserving federated primal-dual learning for non-convex and non-smooth problems with model sparsification,

Reference 7

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Observation 4d7a9e21-2a57-4495-88b8-e620cdddf261 · outbound

This paper cites Differentially private federated clustering over non-iid data,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Differentially private federated clustering over non-iid data,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.584514Z

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Observation 2e26ff66-dd3a-49db-8255-aa9f0749d5a2 · outbound

This paper cites Robust and secure federated learning with verifiable differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Robust and secure federated learning with verifiable differential privacy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.631077Z

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Observation 401cefdd-64a2-4b86-bf1d-1cf1fc6100e8 · outbound

This paper cites Heterogeneous differential-private federated learning: Trading privacy for utility truthfully,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Heterogeneous differential-private federated learning: Trading privacy for utility truthfully,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.673872Z

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Observation aa50b0ff-da08-4d0a-94ea-7ec6ec31964c · outbound

This paper cites Differentially private deep learning with dynamic privacy budget allocation and adaptive optimization,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Differentially private deep learning with dynamic privacy budget allocation and adaptive optimization,

Reference 11

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Observation 6f6927f8-60f2-4e24-9aba-7d6ae46a54ea · outbound

This paper cites Differentially private federated learning in edge networks: The perspective of noise reduction,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Differentially private federated learning in edge networks: The perspective of noise reduction,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.770576Z

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Observation a6ee2417-583c-4766-807d-b49cb663b5d9 · outbound

This paper cites Shuffled model of differential privacy in federated learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Shuffled model of differential privacy in federated learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:01.895538Z

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Observation f6121d76-19b7-46bc-8540-b8c9b566ade8 · outbound

This paper cites Privacy amplification by iteration,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification by iteration,

Reference 14

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Observation 6a96a427-1b44-4511-8d15-b813b49af446 · outbound

This paper cites Privacy amplification by subsampling: Tight analyses via couplings and divergences,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification by subsampling: Tight analyses via couplings and divergences,

Reference 15

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Observation c3aad46a-fa57-44b7-a123-cb1822290752 · outbound

This paper cites Composition of Differential Privacy & Privacy Amplification by Subsampling.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:02.268040Z

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Observation 188c5549-eb2c-462c-8c4c-92fb923e9264 · outbound

This paper cites Amplification by shuffling: From local to central differential privacy via anonymity,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Amplification by shuffling: From local to central differential privacy via anonymity,

Reference 17

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Observation 587fbd37-a976-47e8-80d6-c28a92d4bc41 · outbound

This paper cites Distributed differential privacy via shuffling versus aggregation: A curious study,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Distributed differential privacy via shuffling versus aggregation: A curious study,

Reference 18

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Observation 5afabe32-dc55-47b0-8df7-28a1f21fb43e · outbound

This paper cites Shuffle differential private data aggregation for random population,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Shuffle differential private data aggregation for random population,

Reference 19

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Observation 96737974-e83c-4169-9b17-8af4e0b498e3 · outbound

This paper cites Community-oriented duplex privacy amplification and active poisoning resistance for heterogeneous federated learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Community-oriented duplex privacy amplification and active poisoning resistance for heterogeneous federated learning,

Reference 20

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Observation 23938f51-1709-4748-9dce-4c787541e463 · outbound

This paper cites SLDP-LoRA: A privacy-preserving split learning framework with low-rank adaptation,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation SLDP-LoRA: A privacy-preserving split learning framework with low-rank adaptation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:02.975735Z

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Observation 3587b8a2-d79a-40fa-899b-95c48d689492 · outbound

This paper cites Enhancing accuracy-privacy trade-off in differentially private split learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Enhancing accuracy-privacy trade-off in differentially private split learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.130174Z

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Observation 7b31d730-1301-48ac-9951-8c662fd78319 · outbound

This paper cites Deep learning with differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Deep learning with differential privacy,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.225740Z

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Observation 52a1815d-4bf7-458d-83d7-3c28eeb3a4a8 · outbound

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

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Communication-efficient learning of deep networks from decentralized data,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.327296Z

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Observation 1a34b066-20ea-43e7-8f3e-59eefd8dd850 · outbound

This paper cites Secure federated averaging algorithm with differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Secure federated averaging algorithm with differential privacy,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.472526Z

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Observation bc51937c-8373-4c7d-bce1-1a0bb220069b · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Federated learning with differential privacy: Algorithms and performance analysis,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.581900Z

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Observation fd5a9a41-99dd-4894-a2a3-7c2e0bb55535 · outbound

This paper cites Advances and open problems in federated learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Advances and open problems in federated learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.656961Z

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Observation 7c71aeb7-1eac-4656-a40d-1c0ad6bd79ae · outbound

This paper cites Federated learning with Bayesian differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Federated learning with Bayesian differential privacy,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.681031Z

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Observation d3da6930-ad2d-449a-8b8c-577a7782cfe8 · outbound

This paper cites LDP-Fed: Federated learning with local differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation LDP-Fed: Federated learning with local differential privacy,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.727681Z

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Observation 41699ad1-4b77-4a92-8558-b0fc71f2c2c9 · outbound

This paper cites Stronger privacy amplification by shuffling for r´enyi and approximate differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Stronger privacy amplification by shuffling for r´enyi and approximate differential privacy,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.779213Z

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Observation 735b3317-01fb-4036-a5e3-0f742233cfaa · outbound

This paper cites Privacy Amplification for Matrix Mechanisms.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy Amplification for Matrix Mechanisms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.835098Z

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Observation 558fa6c3-5cd9-4c24-aa2f-3c12dcd059ba · outbound

This paper cites Privacy amplification by sampling under user-level differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification by sampling under user-level differential privacy,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.873669Z

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Observation 2fa0c679-daf3-424e-97e4-88146c64e44a · outbound

This paper cites Privacy amplification by random allocation,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification by random allocation,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.922155Z

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Observation f0d3411b-54b1-4c3d-bd40-c24f4e5bcdd5 · outbound

This paper cites Privacy amplification via random check-ins,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification via random check-ins,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:03.969666Z

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Observation 17297df7-74ba-48a2-b9db-8ca198c7e34f · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Split learning for health: Distributed deep learning without sharing raw patient data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.010780Z

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Observation 429dedac-4c57-44f9-9327-d9a7195e9ec3 · outbound

This paper cites Splitfed: When federated learning meets split learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Splitfed: When federated learning meets split learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.087552Z

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Observation e70a34ad-89a9-45f3-95c9-daff9c730080 · outbound

This paper cites Privacy and efficiency of communications in federated split learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy and efficiency of communications in federated split learning,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.147279Z

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Observation f9fa8ca5-a7b5-4e4d-8f5e-b7dd901b4caf · outbound

This paper cites The effectiveness of a simplified model structure for crowd counting,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation The effectiveness of a simplified model structure for crowd counting,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.196650Z

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Observation df9b488d-12c1-4c17-9139-8c8b7ed5d385 · outbound

This paper cites Split aggregation: Lightweight privacy-preserving federated learning resistant to byzantine attacks,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Split aggregation: Lightweight privacy-preserving federated learning resistant to byzantine attacks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.250538Z

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Observation 4ee1f803-695c-4a7c-adb6-0ee01228ebf8 · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Exploiting shared representations for personalized federated learning,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.317476Z

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Observation 46e7130d-b992-4446-b74b-5b440e0c6905 · outbound

This paper cites Distributed learning over networks with graph-attention-based personalization,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Distributed learning over networks with graph-attention-based personalization,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.397049Z

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Observation b97324aa-48f4-4121-8b7b-26480dbf0fdd · outbound

This paper cites A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.489212Z

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Observation 535b2626-283f-42d1-af08-0529a9cf9a19 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation The algorithmic foundations of differential privacy,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.543884Z

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Observation 54482d53-768d-471e-ad31-b93c2b10102c · outbound

This paper cites Privacy amplification for federated learning via user sampling and wireless aggregation,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Privacy amplification for federated learning via user sampling and wireless aggregation,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.605212Z

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Observation 5405d672-ff41-472a-98de-e5b8224ab141 · outbound

This paper cites Boosting and differential privacy,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Boosting and differential privacy,

Reference 45

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Observation 064dac17-00b1-4ec0-b39d-8b9febe4ed9a · outbound

This paper cites UCI repository of machine learning databases,.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation UCI repository of machine learning databases,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:04.770557Z

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Pith citing papers

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