Paper Citation Record · LEDGER

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.07496.

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

pith.paper-citation-record.v1
2606.07496 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:18:00.424977Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact2
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation 35f29dd1-53ad-4aa0-9d04-27d2d3552de0 · outbound

This paper cites A unified and refined convergence analysis for non-convex decentralized learning.IEEE Transactions on Signal Processing, 70:3264–3279, 2022.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization A unified and refined convergence analysis for non-convex decentralized learning.IEEE Transactions on Signal Processing, 70:3264–3279, 2022

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation 51b4d4f0-75fd-4d41-8049-6d8a72f8484b · outbound

This paper cites Diffusion adaptation strategies for distributed optimization and learning over networks.IEEE Transactions on Signal Processing, 60(8):4289–4305, 2012.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Diffusion adaptation strategies for distributed optimization and learning over networks.IEEE Transactions on Signal Processing, 60(8):4289–4305, 2012

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation c7fccaa9-b4cf-4df6-a061-615992971aa3 · outbound

This paper cites Di Lorenzo and G.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Di Lorenzo and G

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 6240d056-1c32-4355-adfb-6d13623024b9 · outbound

This paper cites Dual averaging for distributed optimization: Convergence analysis and network scaling.IEEE Transactions on Automatic control, 57(3):592–606, 2011.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Dual averaging for distributed optimization: Convergence analysis and network scaling.IEEE Transactions on Automatic control, 57(3):592–606, 2011

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 4af217ef-0814-4acc-a9a7-bd7e7e72edc3 · outbound

This paper cites Robust distributed accelerated stochastic gradient methods for multi-agent networks.Journal of Machine Learning Research, 23(220):1–96, 2022.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Robust distributed accelerated stochastic gradient methods for multi-agent networks.Journal of Machine Learning Research, 23(220):1–96, 2022

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation f282c305-39dc-4fb5-afd9-faa43c73ba9b · outbound

This paper cites Improving the transient times for distributed stochastic gradient methods.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Improving the transient times for distributed stochastic gradient methods

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 2a7b02a2-ba4b-406c-9fed-5383232d784a · outbound

This paper cites Distributed stochastic momentum tracking with local updates: Achieving optimal communication and iteration complexities, 2025.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Distributed stochastic momentum tracking with local updates: Achieving optimal communication and iteration complexities, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

Source-reported events for the cited work

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Observation 4875adb1-f5fe-4c7c-86b0-0cabde5ff14c · outbound

This paper cites an unresolved cited work.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation f8e02823-c1e9-420a-9959-336a1a51a693 · outbound

This paper cites an unresolved cited work.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 5b60be3b-450f-4074-98a9-f88103592ebf · outbound

This paper cites A unified theory of decentralized sgd with changing topology and local updates.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization A unified theory of decentralized sgd with changing topology and local updates

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 2fff6c17-b71a-42b9-8d9c-1a08b7531fa9 · outbound

This paper cites Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.573672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c7e26c5-b8dd-4eae-b79d-f13bee7903d3 · outbound

This paper cites Decentralized accelerated gradient methods with increasing penalty parameters.IEEE Transactions on Signal Processing, 68:4855–4870, 2020.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Decentralized accelerated gradient methods with increasing penalty parameters.IEEE Transactions on Signal Processing, 68:4855–4870, 2020

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation eae22bd2-3aa4-429a-baa7-1835abde04ea · outbound

This paper cites Accelerated gradient tracking over time-varying graphs for decentralized optimization.Journal of Machine Learning Research, 25(274):1–52, 2024.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Accelerated gradient tracking over time-varying graphs for decentralized optimization.Journal of Machine Learning Research, 25(274):1–52, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation 5e822fdf-29fb-4be5-9998-3ccbe758ff9d · outbound

This paper cites A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.570666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 364214af-cfd7-49f0-9a74-fe79bb71e50e · outbound

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

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation b1a31bdd-88e2-48a6-802e-ffd2265255ca · outbound

This paper cites Accelerated linear iterations for distributed averaging.Annual Reviews in Control, 35(2):160–165, 2011.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Accelerated linear iterations for distributed averaging.Annual Reviews in Control, 35(2):160–165, 2011

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 441cf9d6-9195-4e9e-afe7-3ca985f25218 · outbound

This paper cites an unresolved cited work.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation f86781a1-b9ef-4b72-93d4-9c47ced71e4f · outbound

This paper cites Distributed subgradient methods for multi-agent optimization.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Distributed subgradient methods for multi-agent optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 91de792c-00a6-4c57-b48e-fd3329601d68 · outbound

This paper cites Distributed stochastic gradient tracking methods.Mathe- matical Programming, 187(1–2):409–457, 2021.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Distributed stochastic gradient tracking methods.Mathe- matical Programming, 187(1–2):409–457, 2021

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation be95d246-a13e-498c-b7e6-eab21f41faa2 · outbound

This paper cites Harnessingsmoothnessto acceleratedistributed optimization.IEEE Transactions on Control of Network Systems, 5(3):1245–1260, 2018.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Harnessingsmoothnessto acceleratedistributed optimization.IEEE Transactions on Control of Network Systems, 5(3):1245–1260, 2018

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 7035e008-fc0a-413e-a772-f8a0288eb53d · outbound

This paper cites Optimal algorithms for smooth and strongly convex distributed optimization in networks.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Optimal algorithms for smooth and strongly convex distributed optimization in networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation 482d3e01-ab06-43be-9033-595b450d4fa9 · outbound

This paper cites EXTRA: An exact first-order algorithm for decentralized consensus optimization.SIAM Journal on Optimization, 25(2):944–966, 2015.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization EXTRA: An exact first-order algorithm for decentralized consensus optimization.SIAM Journal on Optimization, 25(2):944–966, 2015

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation c0c4b669-531f-43f0-940e-3ae4f8c7b645 · outbound

This paper cites On the linear convergence of the admm in decentralized consensus optimization.IEEE Transactions on Signal Processing, 62(7):1750–1761, 2014.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization On the linear convergence of the admm in decentralized consensus optimization.IEEE Transactions on Signal Processing, 62(7):1750–1761, 2014

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 8dc6ef35-d5bd-42d9-a930-2ebdfba800cd · outbound

This paper cites D2: Decentralizedtrainingoverdecentralized data.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization D2: Decentralizedtrainingoverdecentralized data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation af89f05d-24aa-49d0-9709-e77d3e830624 · outbound

This paper cites an unresolved cited work.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 375f6261-769e-4dc8-a4ef-84ddef46730d · outbound

This paper cites Alghunaim, and Qing Ling Huang.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Alghunaim, and Qing Ling Huang

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 863d93d4-85d2-4d38-9a55-ac50f8594755 · outbound

This paper cites On the influence of bias-correction on distributed stochastic optimization.IEEE Transactions on Signal Processing, 2020.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization On the influence of bias-correction on distributed stochastic optimization.IEEE Transactions on Signal Processing, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Unavailable: canonical work link unavailable.

Observation b0395cf7-974d-4c7b-95c5-7b96eb8d8981 · outbound

This paper cites Revisiting optimal convergence rate for smooth and non-convex stochastic decentralized optimization.Advances in Neural Information Processing Systems, 35:36382–36395, 2022.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Revisiting optimal convergence rate for smooth and non-convex stochastic decentralized optimization.Advances in Neural Information Processing Systems, 35:36382–36395, 2022

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation 059374de-d3cb-4149-b926-f388d6ae6cbb · outbound

This paper cites On the convergence of decentralized gradient descent.SIAM Journal on Optimization, 26(3):1835–1854, 2016.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization On the convergence of decentralized gradient descent.SIAM Journal on Optimization, 26(3):1835–1854, 2016

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Observation dde0edbf-0c99-49f3-a927-dc6400cef858 · outbound

This paper cites an unresolved cited work.

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T22:18:00.424977Z

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Pith citing papers

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