Paper Citation Record · LEDGER

Decentralized Optimization with Amplified Privacy via Efficient Communication

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.07102.

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

pith.paper-citation-record.v1
2506.07102 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:47.120276Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy26
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c3ed1e0-8ec1-40ff-a883-5e5c08302ad1 · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:46.950845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b1e6ba6-b86b-4566-af2e-01af63ce3b6b · outbound

This paper cites Distributed compressive spectrum sensing in cooperative multihop cognitive networks,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Distributed compressive spectrum sensing in cooperative multihop cognitive networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.691230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02ca52ba-c241-4fc6-a3e0-1b41b2e42885 · outbound

This paper cites Distributed stochastic gradient tracking methods,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Distributed stochastic gradient tracking methods,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:46.962918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58bb6cc8-137b-4338-a41b-0cda305cd3ce · outbound

This paper cites On the linear convergence of the ADMM in decentralized consensus optimization,.

Decentralized Optimization with Amplified Privacy via Efficient Communication On the linear convergence of the ADMM in decentralized consensus optimization,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:46.968582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a51346-0ab8-4fb9-b0a7-c01344c4a8b6 · outbound

This paper cites Language models are unsupervised multitask learners,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Language models are unsupervised multitask learners,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.657444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50db2f5f-7945-42a9-a132-bf4a64130c17 · outbound

This paper cites Deep leakage from gradients,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Deep leakage from gradients,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.642063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43eb3479-8254-4731-829f-a26215e735c5 · outbound

This paper cites Membership inference attacks against machine learning models via prediction sensitivity,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Membership inference attacks against machine learning models via prediction sensitivity,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.625765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44c069bb-863f-469f-94a0-27e3914e58c3 · outbound

This paper cites Distributed Nash equilibrium seeking with stochastic event-triggered mechanism,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Distributed Nash equilibrium seeking with stochastic event-triggered mechanism,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.608677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5bd1492-b85a-400f-9130-8c493df3ce6a · outbound

This paper cites An exact quantized decentralized gradient descent algorithm,.

Decentralized Optimization with Amplified Privacy via Efficient Communication An exact quantized decentralized gradient descent algorithm,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:46.993772Z

Source-reported events for the cited work

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Observation 535c64ed-97f8-4acc-a4cd-54875c6dc951 · outbound

This paper cites Error-compensated sparsification for communication-efficient decentralized training in edge environment,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Error-compensated sparsification for communication-efficient decentralized training in edge environment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.582780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c0c98c0-c823-4732-b936-713a3fc1bfd7 · outbound

This paper cites Differential privacy,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Differential privacy,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.566028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 592cbb72-2da4-4c3f-b192-f229d84d985b · outbound

This paper cites Differentially private distributed optimization,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Differentially private distributed optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.550284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3455520a-72df-4b16-853f-e4ef0c1a8359 · outbound

This paper cites Differentially private distributed optimization via state and direction perturbation in multiagent systems,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Differentially private distributed optimization via state and direction perturbation in multiagent systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.533917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30d72afd-8b14-42be-b72f-8e5bca9254fb · outbound

This paper cites Quantization enabled privacy protection in decentralized stochastic optimization,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Quantization enabled privacy protection in decentralized stochastic optimization,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:47.016556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd822b36-5bc4-4360-a680-a2cec1e89922 · outbound

This paper cites Compression- based privacy preservation for distributed Nash equilibrium seeking in aggregative games,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Compression- based privacy preservation for distributed Nash equilibrium seeking in aggregative games,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.505731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df331670-badc-4752-a39a-95f61dcc45e0 · outbound

This paper cites Distributed empirical risk minimization with differential privacy,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Distributed empirical risk minimization with differential privacy,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.491139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0409453-3805-416a-b004-5144fa844c3c · outbound

This paper cites A survey on secure decentralized optimization and learning.

Decentralized Optimization with Amplified Privacy via Efficient Communication A survey on secure decentralized optimization and learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:47.030221Z

Source-reported events for the cited work

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Observation 9a7c0896-076d-4372-a182-5333347df09d · outbound

This paper cites Dynamic event-triggered and self-triggered control for multi-agent systems,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Dynamic event-triggered and self-triggered control for multi-agent systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.476243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97e04f38-6967-486d-a363-bcd92b045de0 · outbound

This paper cites Compressed differen- tially private distributed optimization with linear convergence,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Compressed differen- tially private distributed optimization with linear convergence,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.461439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a907539-338c-41f1-9f71-9d04fee4e400 · outbound

This paper cites Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms.

Decentralized Optimization with Amplified Privacy via Efficient Communication Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:51:47.212928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20fa05a1-8829-4d97-afc5-04c5727e6721 · outbound

This paper cites Gradient sparsification can improve performance of differentially-private convex machine learning,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Gradient sparsification can improve performance of differentially-private convex machine learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.445668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ad1bebf-271d-438e-9db5-abadb72d4a41 · outbound

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

Decentralized Optimization with Amplified Privacy via Efficient Communication Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.428433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a8b977c-79a5-42bd-be93-56ca9b536f29 · outbound

This paper cites Privacy am- plification via compression: Achieving the optimal privacy-accuracy- communication trade-off in distributed mean estimation,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Privacy am- plification via compression: Achieving the optimal privacy-accuracy- communication trade-off in distributed mean estimation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.410262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73478fd7-a638-43e8-9b16-8a0f4d302d46 · outbound

This paper cites Adaptive Federated Optimization.

Decentralized Optimization with Amplified Privacy via Efficient Communication Adaptive Federated Optimization

Reference 24

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Source-reported events for the cited work

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Observation 8cdc53e2-3529-4866-a56e-94068889ed0a · outbound

This paper cites Distributed nonconvex optimization with event-triggered communication,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Distributed nonconvex optimization with event-triggered communication,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.394764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad0b98c6-c31d-46af-b0fe-d82a556d89c3 · outbound

This paper cites Understanding gradient clipping in private SGD: A geometric perspective,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Understanding gradient clipping in private SGD: A geometric perspective,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.380399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70a3031c-6006-415c-a6cb-cdfddaff3764 · outbound

This paper cites On the linear speedup analysis of communi- cation efficient momentum sgd for distributed non-convex optimization,.

Decentralized Optimization with Amplified Privacy via Efficient Communication On the linear speedup analysis of communi- cation efficient momentum sgd for distributed non-convex optimization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.365403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac442562-d2a7-4b61-ac0c-98615ff673c9 · outbound

This paper cites Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.350100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8258884-07d9-4c14-8b28-be1e42def00f · outbound

This paper cites Communication compression for distributed nonconvex optimization,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Communication compression for distributed nonconvex optimization,

Reference 29

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Source-reported events for the cited work

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Observation cd3db699-b74a-4c6f-a4fe-ebc16531bbf7 · outbound

This paper cites DP-ADMM: ADMM-based distributed learning with differential privacy,.

Decentralized Optimization with Amplified Privacy via Efficient Communication DP-ADMM: ADMM-based distributed learning with differential privacy,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.323869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c0a55d3-5b45-40ed-93d6-651579698e2f · outbound

This paper cites Large scale multiple kernel learning,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Large scale multiple kernel learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.307092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d98bd26d-cd93-4dd2-82d7-d1894b41af41 · outbound

This paper cites The MNIST database of handwritten digit images for machine learning research [best of the web],.

Decentralized Optimization with Amplified Privacy via Efficient Communication The MNIST database of handwritten digit images for machine learning research [best of the web],

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.291391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e7255632-41b9-46ed-8ada-89aac1149e35 · outbound

This paper cites Scikit-learn: Machine learning in python,.

Decentralized Optimization with Amplified Privacy via Efficient Communication Scikit-learn: Machine learning in python,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.275189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdd4cea1-db09-47f4-b71a-1e46930ddf6e · outbound

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

Decentralized Optimization with Amplified Privacy via Efficient Communication Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:47.106739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77624ece-83cb-4501-899c-c340541556c1 · outbound

This paper cites The composition theorem for differential privacy,.

Decentralized Optimization with Amplified Privacy via Efficient Communication The composition theorem for differential privacy,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.260569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbd0f754-a504-4b17-870a-030a88932118 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Decentralized Optimization with Amplified Privacy via Efficient Communication The algorithmic foundations of differential privacy,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:47.245617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b5e578a-cb05-4c6b-999c-f628e5bd2d79 · outbound

This paper cites Decentralized Deep Learning with Arbitrary Communication Compression.

Decentralized Optimization with Amplified Privacy via Efficient Communication Decentralized Deep Learning with Arbitrary Communication Compression

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:51:47.120276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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