Paper Citation Record · LEDGER

Enhancing Parallelism in Decentralized Stochastic Convex Optimization

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.00961.

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

pith.paper-citation-record.v1
2506.00961 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:48.451980Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 79a676cc-b8d0-4fb4-b144-c2e1e3b87877 · outbound

This paper cites write newline.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization write newline

Reference 1

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Observation 2125905b-e13b-49cc-94ab-a9f3cc20d6fa · outbound

This paper cites L., Ravikumar, P., and Wainwright, M.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization L., Ravikumar, P., and Wainwright, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:53.602951Z

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Observation 59380fa1-f985-4cbe-88a7-6c1bc2fa1c45 · outbound

This paper cites Q., Cevher, V., Levy, K., and Mertikopoulos, P.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Q., Cevher, V., Levy, K., and Mertikopoulos, P

Reference 3

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Observation f0aaccaf-f6d1-4bfd-96d2-9723e40b3ecb · outbound

This paper cites Stochastic gradient push for distributed deep learning.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Stochastic gradient push for distributed deep learning

Reference 4

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This paper cites Z., Hakimi, I., Schuster, A., and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Z., Hakimi, I., Schuster, A., and Levy, K

Reference 5

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Observation 08da5663-4b59-42f2-b821-360a98ec7d31 · outbound

This paper cites Randomized gossip algorithms.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Randomized gossip algorithms

Reference 6

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Observation f9fd2bfc-e29a-4bb8-a642-50cc63ebb651 · outbound

This paper cites Anytime online-to-batch, optimism and acceleration.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Anytime online-to-batch, optimism and acceleration

Reference 7

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This paper cites and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Levy, K

Reference 8

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This paper cites and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Levy, K

Reference 9

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Observation f23dde62-94a7-403d-aafc-c67194dfa73a · outbound

This paper cites Optimal distributed online prediction using mini-batches.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Optimal distributed online prediction using mini-batches

Reference 10

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Observation bd45093c-4011-4e6f-990b-1b17af511622 · outbound

This paper cites and Scutari, G.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Scutari, G

Reference 11

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Observation 5f5015ae-c880-4296-adce-f0fe0b097d12 · outbound

This paper cites L., and Vladu, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization L., and Vladu, A

Reference 12

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Observation 8439c9f1-d2c1-4acb-b963-ac3ad8741e41 · outbound

This paper cites Byzantine-Robust Decentralized Learning via ClippedGossip.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Byzantine-Robust Decentralized Learning via ClippedGossip

Reference 13

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This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

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This paper cites B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A

Reference 15

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Observation 650737b1-adef-4e24-b312-909380bb116c · outbound

This paper cites Y., Bach, F., and Cevher, V.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Y., Bach, F., and Cevher, V

Reference 16

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Observation c127877a-b40a-4559-a12f-6bc3e13754bc · outbound

This paper cites Gossip-based computation of aggregate information.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Gossip-based computation of aggregate information

Reference 17

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Source-reported events for the cited work

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Observation 6c4bfbc3-cfbb-470e-9bc3-a7153ac137db · outbound

This paper cites Decentralized stochastic optimization and gossip algorithms with compressed communication.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Decentralized stochastic optimization and gossip algorithms with compressed communication

Reference 18

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Source-reported events for the cited work

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Observation acf3696b-883a-41c1-b71f-af8ebe317b79 · outbound

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

Enhancing Parallelism in Decentralized Stochastic Convex Optimization A unified theory of decentralized sgd with changing topology and local updates

Reference 19

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 20

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Observation 7bdfc096-2a62-4c85-a2a7-9d3f43c96cec · outbound

This paper cites Consensus control for decentralized deep learning.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Consensus control for decentralized deep learning

Reference 21

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Observation 953d248d-9b2f-4269-8cf3-e3f5e7239dfe · outbound

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

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Gradient-based learning applied to document recognition

Reference 22

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization G., Smola, A

Reference 23

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Observation 0375a01c-9dbe-4495-a0a2-ab3b191fbf99 · outbound

This paper cites Learning to collaborate in decentralized learning of personalized models.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Learning to collaborate in decentralized learning of personalized models

Reference 24

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Observation 00e9ce7a-5ce6-48ba-9f3d-869d44f47aa4 · outbound

This paper cites Communication-Efficient Local Decentralized SGD Methods.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Communication-Efficient Local Decentralized SGD Methods

Reference 25

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

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent

Reference 26

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization and De Sa, C

Reference 27

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Reference 28

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Ozdaglar, A

Reference 29

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This paper cites Achieving geometric convergence for distributed optimization over time-varying graphs.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Achieving geometric convergence for distributed optimization over time-varying graphs

Reference 30

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Observation da9603b4-27a9-48b7-9d66-4d0c12026217 · outbound

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Robust stochastic approximation approach to stochastic programming

Reference 31

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Nedi \'c , A

Reference 33

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Reference 34

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Observation d5c2441e-b41a-4f99-b2db-e44961299e69 · outbound

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

Enhancing Parallelism in Decentralized Stochastic Convex Optimization On the linear convergence of the admm in decentralized consensus optimization

Reference 35

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Observation 4734c34c-f1c0-4157-899d-5a4989774a53 · outbound

This paper cites Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence

Reference 36

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Communication compression for decentralized training

Reference 37

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization D^2 : Decentralized training over decentralized data

Reference 38

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 39

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Reference 40

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This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 41

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Boyd, S

Reference 42

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Observation 415ed5bf-2785-4e34-b2f5-7e22d1bee429 · outbound

This paper cites Exponential graph is provably efficient for decentralized deep training.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Exponential graph is provably efficient for decentralized deep training

Reference 43

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This paper cites Decentlam: Decentralized momentum sgd for large-batch deep training.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Decentlam: Decentralized momentum sgd for large-batch deep training

Reference 44

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