Paper Citation Record · LEDGER

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2502.00470.

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

pith.paper-citation-record.v1
2502.00470 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:08:27.670657Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8542d3d3-651c-4d5f-a663-da0f8f01b6f8 · outbound

This paper cites Distributed opti- mization and statistical learning via the alternating direction method of multipliers.Foundations and Trends® in Machine learning, 3(1):1–122, 2011.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Distributed opti- mization and statistical learning via the alternating direction method of multipliers.Foundations and Trends® in Machine learning, 3(1):1–122, 2011

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:29.124915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf5022e0-b70a-4289-8e26-0c91ae0b71ba · outbound

This paper cites Libsvm: a library for support vector machines.ACM transactions on intelligent systems and technology (TIST), 2(3):1–27, 2011.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Libsvm: a library for support vector machines.ACM transactions on intelligent systems and technology (TIST), 2(3):1–27, 2011

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:29.036663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcdc4f67-aed4-40a6-ada7-768a7e4730bf · outbound

This paper cites Parallel multi-block admm with o (1/k) convergence.Journal of Scientific Computing, 71:712–736, 2017.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Parallel multi-block admm with o (1/k) convergence.Journal of Scientific Computing, 71:712–736, 2017

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:29.009582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18eca37f-9dff-4f65-9b27-cdfbd9bc4f17 · outbound

This paper cites On the global and linear convergence of the generalized alternating direction method of multipliers.Journal of Scientific Computing, 66:889–916, 2016.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization On the global and linear convergence of the generalized alternating direction method of multipliers.Journal of Scientific Computing, 66:889–916, 2016

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.986436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47b656d0-3bb6-4858-b345-5061250f1d05 · outbound

This paper cites A distributed second-order algorithm you can trust.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization A distributed second-order algorithm you can trust

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.921759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8e6323e-6f0e-4f8a-a588-45ec4affa5ae · outbound

This paper cites On alternating direction methods of multipliers: a historical perspective.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization On alternating direction methods of multipliers: a historical perspective

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.835514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f5051e0-2976-43bd-bd68-1098c03af208 · outbound

This paper cites A survey on some recent developments of alternating direction method of multipliers.Journal of the Operations Research Society of China, pages 1–52, 2022.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization A survey on some recent developments of alternating direction method of multipliers.Journal of the Operations Research Society of China, pages 1–52, 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.783070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dafaed17-e9d4-4998-a310-d8d3289e63b8 · outbound

This paper cites On the o(1/n) convergence rate of the douglas–rachford alternating direction method.SIAM Journal on Numerical Analysis, 50(2):700–709, 2012.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization On the o(1/n) convergence rate of the douglas–rachford alternating direction method.SIAM Journal on Numerical Analysis, 50(2):700–709, 2012

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.771783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9c62342-082f-4fbd-a70f-bd6e351dae28 · outbound

This paper cites Robust estimation of a location parameter.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Robust estimation of a location parameter

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.193755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24be6d1-567f-4722-8f97-e01a1459250e · outbound

This paper cites Communication-efficient distributed dual coordinate ascent.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Communication-efficient distributed dual coordinate ascent

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.656558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ebcc691-90d7-41c2-8da1-1438777a0569 · outbound

This paper cites Regression quantiles.Econometrica: journal of the Econometric Society, pages 33–50, 1978.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Regression quantiles.Econometrica: journal of the Econometric Society, pages 33–50, 1978

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.330056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819da520-2756-4407-a2af-a2043e750e88 · outbound

This paper cites Distributed block-diagonal approximation methods for regularized empirical risk minimization.Machine Learning, 109(4):813–852, 2020.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Distributed block-diagonal approximation methods for regularized empirical risk minimization.Machine Learning, 109(4):813–852, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.513039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6ddac37-5423-45fe-8cde-a468b1929223 · outbound

This paper cites Linearized alternating direction method with adaptive penalty for low-rank representation.Advances in neural information processing systems, 24, 2011.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Linearized alternating direction method with adaptive penalty for low-rank representation.Advances in neural information processing systems, 24, 2011

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.359123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a04c02d-1c8e-4faf-bb42-8ff808d3056c · outbound

This paper cites A unified alternating direction method of multipliers by majorization minimization.IEEE transactions on pattern analysis and machine intelligence, 40(3):527–541, 2017.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization A unified alternating direction method of multipliers by majorization minimization.IEEE transactions on pattern analysis and machine intelligence, 40(3):527–541, 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.458754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58f28a8f-da68-4a9e-8d71-522502f021c1 · outbound

This paper cites On a Unified and Simplified Proof for the Ergodic Convergence Rates of PPM, PDHG and ADMM.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization On a Unified and Simplified Proof for the Ergodic Convergence Rates of PPM, PDHG and ADMM

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.367788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407f0d87-8194-459e-8459-6b86864173c7 · outbound

This paper cites An accelerated communication-efficient primal-dual optimization framework for structured machine learning.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization An accelerated communication-efficient primal-dual optimization framework for structured machine learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.407493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc219fac-436c-4dbb-8bd4-cfbcb854c167 · outbound

This paper cites Adding vs.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Adding vs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.273300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93da7d9c-07c8-4926-96d9-8af144480709 · outbound

This paper cites A survey on applications of alternating direction method of multipliers in smart power grids.Renewable and Sustainable Energy Reviews, 152:111687, 2021.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization A survey on applications of alternating direction method of multipliers in smart power grids.Renewable and Sustainable Energy Reviews, 152:111687, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.123579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a826014-6135-4e22-abf9-89593ff3ae12 · outbound

This paper cites Stochastic dual coordinate ascent methods for regularized loss minimization.Journal of Machine Learning Research, 14(1), 2013.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Stochastic dual coordinate ascent methods for regularized loss minimization.Journal of Machine Learning Research, 14(1), 2013

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.086645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f4ce28c-9653-4369-8a47-7e374becfcd1 · outbound

This paper cites Cocoa: A general framework for communication-efficient distributed optimization.Journal of Machine Learning Research, 18(230):1–49, 2018.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Cocoa: A general framework for communication-efficient distributed optimization.Journal of Machine Learning Research, 18(230):1–49, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.074526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f65d68fa-b27e-4096-b8e4-54460d6c50f9 · outbound

This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288, 1996.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288, 1996

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.616885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9d3abc-1261-4d26-8033-98bdadddbe7e · outbound

This paper cites Principles of risk minimization for learning theory.Advances in neural information processing systems, 4, 1991.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Principles of risk minimization for learning theory.Advances in neural information processing systems, 4, 1991

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:28.019295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2b52304-9805-44a1-919a-fb255508a266 · outbound

This paper cites Support-vector networks.Machine learning, 20:273–297, 1995.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Support-vector networks.Machine learning, 20:273–297, 1995

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:27.946946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14bcfa86-244d-4aa1-9bde-c39f5ad2fdf8 · outbound

This paper cites Trading computation for communication: Distributed stochastic dual coordinate ascent.Advances in neural information processing systems, 26, 2013.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Trading computation for communication: Distributed stochastic dual coordinate ascent.Advances in neural information processing systems, 26, 2013

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:27.935418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad337150-6cf2-4276-9920-526c36b5f675 · outbound

This paper cites A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:08:27.662059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e86b0b03-e72a-4623-9e81-8f86db80571e · outbound

This paper cites Federated learning via inexact admm.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9699–9708, 2023.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Federated learning via inexact admm.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9699–9708, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:27.922076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ddd0590-5704-4310-9060-5c5a1837422f · outbound

This paper cites Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320, 2005.

On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320, 2005

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:08:27.843463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.