Paper Citation Record · LEDGER

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.05377.

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

pith.paper-citation-record.v1
2509.05377 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:17:59.435391Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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.

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

43 of 43 outbound references displayed

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verified fuzzy37
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 099d498d-5216-489c-87d4-6aae88738c25 · outbound

This paper cites tinyRadar for fitness: A contactless framework for edge computing,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning tinyRadar for fitness: A contactless framework for edge computing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.994060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cf5e4b5-14e8-47e9-bbcd-66b38a90446d · outbound

This paper cites faaShark: An end-to-end network traffic analysis system atop serverless computing platforms,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning faaShark: An end-to-end network traffic analysis system atop serverless computing platforms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.984389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56c92f51-d34e-4f2c-954c-5272f8eccd54 · outbound

This paper cites Quantum computing for finance,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum computing for finance,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.973714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce2d9f05-312f-4e0c-916c-549ad27dde3f · outbound

This paper cites Challenges and opportunities in quantum machine learning,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Challenges and opportunities in quantum machine learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.962296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1315126-90f5-41d1-a481-9aef450c98c5 · outbound

This paper cites Transitioning from federated learn- ing to quantum federated learning in internet of things: A comprehensive survey,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Transitioning from federated learn- ing to quantum federated learning in internet of things: A comprehensive survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.952197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e34b604b-d4a8-42d7-aae1-e55ae56aa13e · outbound

This paper cites Secure delegated variational quantum algorithms,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Secure delegated variational quantum algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.941409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4cc1794-43a4-42f0-870b-d70b8d7ecf74 · outbound

This paper cites Quantum machine learning with differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum machine learning with differential privacy,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.931152Z

Source-reported events for the cited work

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Observation 530090e2-25d6-43a5-821c-3254de4b9898 · outbound

This paper cites An efficient simulation for quantum secure multiparty computation,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning An efficient simulation for quantum secure multiparty computation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.920151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96532e03-e6d8-4b55-aca7-635271ac0164 · outbound

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

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Calibrating noise to sensitivity in private data analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.909079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4921a8e3-94f8-4f42-8386-7a10b65aa74d · outbound

This paper cites Differential privacy in quantum computation,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Differential privacy in quantum computation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.898865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef4ebfdc-fcd1-410a-be8a-dbc21b6e93f5 · outbound

This paper cites Quantum differentially private sparse regression learning,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum differentially private sparse regression learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.888793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9ed9d89-d762-4c53-ac4a-7a380a745ecd · outbound

This paper cites Privacy-preserving quantum machine learning using differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Privacy-preserving quantum machine learning using differential privacy,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.878386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a01da8e7-268a-4a20-af16-fd72cfee3504 · outbound

This paper cites Improved differential privacy noise mechanism in quantum machine learning,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Improved differential privacy noise mechanism in quantum machine learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.867543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75e00a37-96da-4150-ba16-e3d95aaeaa14 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Barren plateaus in quantum neural network training landscapes,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:59.339905Z

Source-reported events for the cited work

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Observation 4e65373c-169b-4fe9-8877-b9a7c892cf1d · outbound

This paper cites Revisiting LARS for Large Batch Training Generalization of Neural Networks.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Revisiting LARS for Large Batch Training Generalization of Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:59.342969Z

Source-reported events for the cited work

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Observation d06f8348-d194-45bf-873e-b3930b41bdcc · outbound

This paper cites On large-batch training for deep learning: Generalization gap and sharp minima,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning On large-batch training for deep learning: Generalization gap and sharp minima,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.850761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70788e1a-8d3b-4047-9efc-e68f35deac2f · outbound

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

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.840465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29798370-752a-4202-b947-4dec79c7586a · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:59.352946Z

Source-reported events for the cited work

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Observation 121ae347-77d8-481e-b8a9-05e4a3783c40 · outbound

This paper cites Safeguarding cross-silo federated learning with local differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Safeguarding cross-silo federated learning with local differential privacy,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.830137Z

Source-reported events for the cited work

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Observation 49e39968-9514-4ec2-93a7-616d92b8ef38 · outbound

This paper cites Multi-stage asynchronous federated learning with adaptive differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Multi-stage asynchronous federated learning with adaptive differential privacy,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.820366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff0ee270-d92b-411f-ace0-8f8a9dac8115 · outbound

This paper cites Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.811024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1054e14d-842e-4760-bece-ed518245462d · outbound

This paper cites Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:17:59.480332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1461a06f-d714-4642-9e0b-7d4a6cde91ca · outbound

This paper cites Federated learning with personalized local differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Federated learning with personalized local differential privacy,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.800402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b235fbc-fda4-4c48-848b-90631e02c0a6 · outbound

This paper cites QuantumFed: A federated learning framework for collaborative quantum training,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning QuantumFed: A federated learning framework for collaborative quantum training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.790438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7a1867a-e9d4-4b77-84d1-ecdc77475ad4 · outbound

This paper cites Quantum federated learning with quantum data,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum federated learning with quantum data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.779815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26c428d8-e7c2-4f95-a393-209b3bc089da · outbound

This paper cites Quantum federated learning with decen- tralized data,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum federated learning with decen- tralized data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.769301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77de0ce3-5e17-48c3-9e61-4aaf210c81d8 · outbound

This paper cites Quantum federated learning through blind quantum computing,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Quantum federated learning through blind quantum computing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.759723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee19932a-0c1a-4003-96c9-1b2e77ea5fd5 · outbound

This paper cites Federated quantum machine learning with differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Federated quantum machine learning with differential privacy,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.749714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 927d009a-511e-44ae-a36a-814e03840cfa · outbound

This paper cites AdaPDP: Adaptive personalized differential privacy,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning AdaPDP: Adaptive personalized differential privacy,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.739228Z

Source-reported events for the cited work

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Observation a7168da1-f558-413d-b3c0-3f6ed5ba2ea5 · outbound

This paper cites Experimental quantum end-to-end learning on a superconducting processor,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Experimental quantum end-to-end learning on a superconducting processor,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.729231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3251f7a8-24e7-411f-8cc2-473eb0b4f4d1 · outbound

This paper cites an unresolved cited work.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:17:59.719378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34d8e3e7-23e8-43ca-9695-a6e6038d0b86 · outbound

This paper cites Task-level differentially private meta learning,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Task-level differentially private meta learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.708744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22048792-3d41-466d-8438-545ed46c2693 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.602910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation faa741ca-60be-400d-9fa0-20a03acbee5a · outbound

This paper cites Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.592883Z

Source-reported events for the cited work

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Observation 7088a25c-25d2-495b-b62d-eb7746e742f2 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Gradient-based learning applied to document recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.583258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33f8360c-4717-44f0-a3f0-94d7d64bdcc9 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Learning multiple layers of features from tiny images,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.573127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5a1f194-a8b9-47a3-90d0-567b02405ff3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Adam: A Method for Stochastic Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:59.416763Z

Source-reported events for the cited work

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Observation d83da008-cc46-4395-a4ef-5ebee12cd6b2 · outbound

This paper cites Personalized federated learning with moreau envelopes,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Personalized federated learning with moreau envelopes,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.563362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0c62dbf-8b6d-4d7e-bdad-1d69d1183320 · outbound

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

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Exploiting shared representations for personalized federated learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.552122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a11adb9a-acda-4530-b118-84f968e86a7e · outbound

This paper cites Fedqnn: Federated learning using quantum neural networks,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Fedqnn: Federated learning using quantum neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.542060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c201e0ec-766d-4687-90bd-901f3c59bfa0 · outbound

This paper cites Fedexp: Speeding up federated averaging via extrapolation,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Fedexp: Speeding up federated averaging via extrapolation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.532024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8f19a1a-d66b-4002-a56a-c8c31d906746 · outbound

This paper cites Connecting ansatz expressibility to gradient magnitudes and barren plateaus,.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Connecting ansatz expressibility to gradient magnitudes and barren plateaus,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.521577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab812c9e-4ec5-4334-8910-e769b84dfdb9 · outbound

This paper cites Durrett, Probability: Theory and Examples , 4th ed., ser.

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Durrett, Probability: Theory and Examples , 4th ed., ser

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:17:59.511653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.