Paper Citation Record · LEDGER

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.13790.

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

pith.paper-citation-record.v1
2501.13790 v2

Coverage vector

measured 47 of 47 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-10T15:46:47.779439Z

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation a37cd258-0359-4903-94ac-22a3b6a7f09f · outbound

This paper cites Communication complexity of distributed convex learning and optimization.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Communication complexity of distributed convex learning and optimization

Reference 1

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Observation 14e2327a-b59b-46a0-a82d-b70593fb9fc1 · outbound

This paper cites Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression

Reference 2

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This paper cites Distributed learning, communication complexity and privacy.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Distributed learning, communication complexity and privacy

Reference 3

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Observation c6b5e213-be08-4ffe-ace2-cf483f29e582 · outbound

This paper cites Gradient descent on neural networks typically occurs at the edge of stability.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Gradient descent on neural networks typically occurs at the edge of stability

Reference 4

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Observation 5f460f20-dc5c-4b94-8209-12d2be8c0ff0 · outbound

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

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Optimal distributed online prediction using mini-batches

Reference 5

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Observation 1464e2d9-3b0d-4262-9578-506d6912199c · outbound

This paper cites Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization i: A generic algorithmic framework.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization i: A generic algorithmic framework

Reference 6

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Observation 72110b65-9ec8-4a0b-8045-b9ec7801e4ee · outbound

This paper cites Sharp bounds for federated averaging (local sgd) and continuous perspective.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Sharp bounds for federated averaging (local sgd) and continuous perspective

Reference 7

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Observation 9775e904-e1c6-49cf-933b-fa760af9f3db · outbound

This paper cites Characterizing implicit bias in terms of optimization geometry.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Characterizing implicit bias in terms of optimization geometry

Reference 8

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Observation 5735e215-e8a2-4bc7-b6c9-ab02ee3637a4 · outbound

This paper cites On the Convergence of Local Descent Methods in Federated Learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression On the Convergence of Local Descent Methods in Federated Learning

Reference 9

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Observation f899152c-e320-4cce-96d6-28bf9fec06b1 · outbound

This paper cites Deep residual learning for image recognition.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Deep residual learning for image recognition

Reference 10

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Observation b2c9ffab-6320-4584-a086-e916b71a501e · outbound

This paper cites Risk and parameter convergence of logistic regression.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Risk and parameter convergence of logistic regression

Reference 11

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Observation 242c0e72-40cd-49f0-a785-47ef71b66b3e · outbound

This paper cites Fast margin maximization via dual acceleration.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Fast margin maximization via dual acceleration

Reference 12

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Observation 3a99c2c4-1754-4a19-adb6-94d178ce570e · outbound

This paper cites Advances and Open Problems in Federated Learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Advances and Open Problems in Federated Learning

Reference 13

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Observation 6b6cf274-2572-496d-bf60-7e666961a3d0 · outbound

This paper cites Advances and open problems in federated learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Advances and open problems in federated learning

Reference 14

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Observation 69e8a5cd-4fa6-47a3-a9fc-f8fb23fe347d · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Scaffold: Stochastic controlled averaging for federated learning

Reference 15

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Observation 8ac92962-002d-49d2-8b24-a9656cc158c8 · outbound

This paper cites Tighter theory for local sgd on identical and heterogeneous data.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Tighter theory for local sgd on identical and heterogeneous data

Reference 16

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Observation cfcc2ec2-8ecb-48bb-9d7d-a24906acdd30 · outbound

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

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression A unified theory of decentralized sgd with changing topology and local updates

Reference 17

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Observation dc729fa8-7f92-4226-a8fc-6e9231dcd9d0 · outbound

This paper cites SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:47.889279Z

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Observation 3f0cec6c-dcf2-4ebd-85d7-d1072a72e2b6 · outbound

This paper cites Don't use large mini-batches, use local sgd.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Don't use large mini-batches, use local sgd

Reference 19

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Observation aa8eaeea-d511-4d82-bf74-fb571c48af1b · outbound

This paper cites Efficient large-scale distributed training of conditional maximum entropy models.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Efficient large-scale distributed training of conditional maximum entropy models

Reference 20

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Observation 96cd270d-3102-41be-a050-7891f00f85a0 · outbound

This paper cites Distributed training strategies for the structured perceptron.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Distributed training strategies for the structured perceptron

Reference 21

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Observation 20ae09e3-7989-40c6-a7e7-f26d405b2170 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 22

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Observation 64a299ee-01aa-440a-8d6b-69a7f7df0c93 · outbound

This paper cites Proximal and federated random reshuffling.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Proximal and federated random reshuffling

Reference 23

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Observation 4ee241fb-8002-4e79-9b36-030cd3ccccd8 · outbound

This paper cites Stochastic gradient descent on separable data: Exact convergence with a fixed learning rate.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Stochastic gradient descent on separable data: Exact convergence with a fixed learning rate

Reference 24

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Observation 974679a0-77bd-401d-8225-5c21af772912 · outbound

This paper cites Introductory lectures on convex optimization: A basic course, volume 87.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Introductory lectures on convex optimization: A basic course, volume 87

Reference 25

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Observation bfe2ed56-1f9b-4ae9-9c98-8d512f74c33e · outbound

This paper cites A minimizer far, far away, 2024.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression A minimizer far, far away, 2024

Reference 26

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Observation 25efdabe-0ee7-4f86-9977-fd8b358108a6 · outbound

This paper cites On the still unreasonable effectiveness of federated averaging for heterogeneous distributed learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression On the still unreasonable effectiveness of federated averaging for heterogeneous distributed learning

Reference 27

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Observation 10bbef97-0329-4b30-b7dc-b2e5323eb478 · outbound

This paper cites The limits and potentials of local sgd for distributed heterogeneous learning with intermittent communication.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression The limits and potentials of local sgd for distributed heterogeneous learning with intermittent communication

Reference 28

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Observation f9867f78-3f7c-4625-b054-5fa0441dbce3 · outbound

This paper cites Distributed stochastic optimization and learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Distributed stochastic optimization and learning

Reference 29

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Observation 564d3391-36df-4ad6-89ea-b3bdd871161c · outbound

This paper cites The implicit bias of gradient descent on separable data.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression The implicit bias of gradient descent on separable data

Reference 30

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Observation f323f905-a048-488b-bfd0-aa2ff7383e44 · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Local SGD Converges Fast and Communicates Little

Reference 31

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This paper cites Local sgd converges fast and communicates little.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Local sgd converges fast and communicates little

Reference 32

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This paper cites A Field Guide to Federated Optimization.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression A Field Guide to Federated Optimization

Reference 33

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This paper cites On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 34

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This paper cites Is local sgd better than minibatch sgd? In International Conference on Machine Learning, pp.\ 10334--10343.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Is local sgd better than minibatch sgd? In International Conference on Machine Learning, pp.\ 10334--10343

Reference 35

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This paper cites Graph oracle models, lower bounds, and gaps for parallel stochastic optimization.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Graph oracle models, lower bounds, and gaps for parallel stochastic optimization

Reference 36

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This paper cites Minibatch vs local sgd for heterogeneous distributed learning.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Minibatch vs local sgd for heterogeneous distributed learning

Reference 37

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Observation 21cd2931-a870-434a-9d94-9675a0976255 · outbound

This paper cites The min-max complexity of distributed stochastic convex optimization with intermittent communication.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression The min-max complexity of distributed stochastic convex optimization with intermittent communication

Reference 38

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Observation 5f3e58ba-060e-4578-9d32-bba7b4217b6c · outbound

This paper cites Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency

Reference 39

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This paper cites Implicit bias of gradient descent for logistic regression at the edge of stability.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Implicit bias of gradient descent for logistic regression at the edge of stability

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:48.037192Z

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Observation 52e2efb2-1d9f-4873-bd65-a3dec788e6e9 · outbound

This paper cites Federated accelerated stochastic gradient descent.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Federated accelerated stochastic gradient descent

Reference 41

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This paper cites Information-theoretic lower bounds for distributed statistical estimation with communication constraints.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Information-theoretic lower bounds for distributed statistical estimation with communication constraints

Reference 42

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Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Parallelized stochastic gradient descent

Reference 43

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This paper cites write newline.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression write newline

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This paper cites @esa (Ref.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression @esa (Ref

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Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Unresolved cited work

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Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Unresolved cited work

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