Paper Citation Record · LEDGER

Decentralized Federated Learning by Partial Message Exchange

As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2603.01730.

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

pith.paper-citation-record.v1
2603.01730 v3

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:44:17.278048Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T19:44:47.733008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:47:18.784816Z

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation e317d730-dc85-47cb-841a-0fe3c19d3b64 · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,.

Decentralized Federated Learning by Partial Message Exchange Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,

Reference 1

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Observation d71a689e-aff2-4d24-bcc8-d6e3c8b7345f · outbound

This paper cites Decentralized federated learning: A survey on security and privacy,.

Decentralized Federated Learning by Partial Message Exchange Decentralized federated learning: A survey on security and privacy,

Reference 2

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Observation 846bf843-a398-472e-8358-930fa7aefe99 · outbound

This paper cites An innovative decentralized and distributed deep learning framework for predictive maintenance in the industrial internet of things,.

Decentralized Federated Learning by Partial Message Exchange An innovative decentralized and distributed deep learning framework for predictive maintenance in the industrial internet of things,

Reference 3

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Observation fe432c74-6201-4022-acb9-aa52cc109df4 · outbound

This paper cites Decentralized navigation with heterogeneous federated reinforcement learning for uav- enabled mobile edge computing,.

Decentralized Federated Learning by Partial Message Exchange Decentralized navigation with heterogeneous federated reinforcement learning for uav- enabled mobile edge computing,

Reference 4

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Observation 0e5faf2f-83d2-4131-b6d0-09b93103bebe · outbound

This paper cites Federated learning-based energy fore- casting and trading platform for decentralized renewable energy markets,.

Decentralized Federated Learning by Partial Message Exchange Federated learning-based energy fore- casting and trading platform for decentralized renewable energy markets,

Reference 5

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Observation c41525aa-662b-4921-b44e-44d14ba71d19 · outbound

This paper cites Federated learning meets blockchain in decentralized data sharing: Healthcare use case,.

Decentralized Federated Learning by Partial Message Exchange Federated learning meets blockchain in decentralized data sharing: Healthcare use case,

Reference 6

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Observation fbd0efca-23d6-404c-8f07-2b387cdb5bda · outbound

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

Decentralized Federated Learning by Partial Message Exchange Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent,

Reference 7

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Observation 5afbc594-5f1c-4494-a792-78ee9a64692c · outbound

This paper cites Improving the model consistency of decentral- ized federated learning,.

Decentralized Federated Learning by Partial Message Exchange Improving the model consistency of decentral- ized federated learning,

Reference 8

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Observation 4340a924-59b7-48cb-9f29-d33f2b678e88 · outbound

This paper cites Topology-aware generalization of decentralized sgd,.

Decentralized Federated Learning by Partial Message Exchange Topology-aware generalization of decentralized sgd,

Reference 9

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Observation 227b8c1e-1bfd-4142-bfd2-122873bfe284 · outbound

This paper cites Decentralized optimiza- tion with edge sampling,.

Decentralized Federated Learning by Partial Message Exchange Decentralized optimiza- tion with edge sampling,

Reference 10

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Observation 2e081d8a-c13e-4aef-ab90-a36f6f9d27d1 · outbound

This paper cites De V os, S.

Decentralized Federated Learning by Partial Message Exchange De V os, S

Reference 11

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Observation a2e9a098-82b5-4599-b2a1-21dfed5009a8 · outbound

This paper cites Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning.

Decentralized Federated Learning by Partial Message Exchange Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning

Reference 12

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Observation fee3b85f-ee23-447a-815b-6590546d16d8 · outbound

This paper cites Personalized decentralized federated learning: A privacy-enhanced and byzantine-resilient approach,.

Decentralized Federated Learning by Partial Message Exchange Personalized decentralized federated learning: A privacy-enhanced and byzantine-resilient approach,

Reference 13

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Observation 44bd6a92-fbe4-4ea5-bf9c-a895109d4180 · outbound

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

Decentralized Federated Learning by Partial Message Exchange Distributed subgradient methods for multi-agent optimization,

Reference 14

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This paper cites Com- munication compression for decentralized training,.

Decentralized Federated Learning by Partial Message Exchange Com- munication compression for decentralized training,

Reference 15

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This paper cites The convergence of spar- sified gradient methods,.

Decentralized Federated Learning by Partial Message Exchange The convergence of spar- sified gradient methods,

Reference 16

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Observation d0132d68-9777-418b-82e1-a64869dcbf85 · outbound

This paper cites Sparse decen- tralized federated learning,.

Decentralized Federated Learning by Partial Message Exchange Sparse decen- tralized federated learning,

Reference 17

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Observation acf84ca3-5627-4c76-9cda-a39fb841289d · outbound

This paper cites Decentralized learning with unreliable communications,.

Decentralized Federated Learning by Partial Message Exchange Decentralized learning with unreliable communications,

Reference 18

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Observation 64a6e3d2-31c4-489c-ab82-eb5f8165e58d · outbound

This paper cites Decentralized multi-client functional encryption for in- ner product with applications to federated learning,.

Decentralized Federated Learning by Partial Message Exchange Decentralized multi-client functional encryption for in- ner product with applications to federated learning,

Reference 19

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Observation fdd04d28-4fd7-4aa0-9f0f-44883eafd0f3 · outbound

This paper cites Securing decentral- ized federated learning: cryptographic mechanisms for privacy and trust,.

Decentralized Federated Learning by Partial Message Exchange Securing decentral- ized federated learning: cryptographic mechanisms for privacy and trust,

Reference 20

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Observation f7110104-433c-413b-943b-967118060ac2 · outbound

This paper cites Decentralized nonconvex opti- mization with guaranteed privacy and accuracy,.

Decentralized Federated Learning by Partial Message Exchange Decentralized nonconvex opti- mization with guaranteed privacy and accuracy,

Reference 21

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This paper cites Differentially private linearized admm algorithm for decentralized nonconvex optimization,.

Decentralized Federated Learning by Partial Message Exchange Differentially private linearized admm algorithm for decentralized nonconvex optimization,

Reference 22

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This paper cites Dp-norm: Differential privacy primal-dual algorithm for decen- tralized federated learning,.

Decentralized Federated Learning by Partial Message Exchange Dp-norm: Differential privacy primal-dual algorithm for decen- tralized federated learning,

Reference 23

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This paper cites Federated learning via inexact admm,.

Decentralized Federated Learning by Partial Message Exchange Federated learning via inexact admm,

Reference 24

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Observation f6440328-ffe3-4b4d-a2f3-7e31e97b0808 · outbound

This paper cites Decentralized federated averaging,.

Decentralized Federated Learning by Partial Message Exchange Decentralized federated averaging,

Reference 25

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This paper cites Decentralized feder- ated learning: Balancing communication and computing costs,.

Decentralized Federated Learning by Partial Message Exchange Decentralized feder- ated learning: Balancing communication and computing costs,

Reference 26

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This paper cites De- centralized deep learning with arbitrary communication compression,.

Decentralized Federated Learning by Partial Message Exchange De- centralized deep learning with arbitrary communication compression,

Reference 27

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This paper cites Squarm- sgd: Communication-efficient momentum sgd for decen- tralized optimization,.

Decentralized Federated Learning by Partial Message Exchange Squarm- sgd: Communication-efficient momentum sgd for decen- tralized optimization,

Reference 28

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Observation 71222f06-90fd-4d96-8520-34721017bb3c · outbound

This paper cites Beer: Fasto(1/t)rate for decentralized nonconvex optimiza- tion with communication compression,.

Decentralized Federated Learning by Partial Message Exchange Beer: Fasto(1/t)rate for decentralized nonconvex optimiza- tion with communication compression,

Reference 29

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Observation 1110c756-9885-449c-b1b5-d39b9bfbdcc0 · outbound

This paper cites Decentralized sum-of- nonconvex optimization,.

Decentralized Federated Learning by Partial Message Exchange Decentralized sum-of- nonconvex optimization,

Reference 30

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Observation eabae8b9-e2db-4274-a8c3-87c50490e754 · outbound

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

Decentralized Federated Learning by Partial Message Exchange A decentralized proximal- gradient method with network independent step-sizes and separated convergence rates,

Reference 31

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This paper cites Finite-bit quantization for distributed algorithms with linear con- vergence,.

Decentralized Federated Learning by Partial Message Exchange Finite-bit quantization for distributed algorithms with linear con- vergence,

Reference 32

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Observation 63a44a53-a2f4-402d-b4a5-c714b2c35988 · outbound

This paper cites Private and communication-efficient edge learning: A sparse differ- ential gaussian-masking distributed sgd approach,.

Decentralized Federated Learning by Partial Message Exchange Private and communication-efficient edge learning: A sparse differ- ential gaussian-masking distributed sgd approach,

Reference 33

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

Decentralized Federated Learning by Partial Message Exchange Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy,

Reference 34

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Observation f72c6d89-e6d7-4d8a-9583-1990487e4095 · outbound

This paper cites Communication-Efficient Secure Aggregation in Decentralized Learning.

Decentralized Federated Learning by Partial Message Exchange Communication-Efficient Secure Aggregation in Decentralized Learning

Reference 35

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Decentralized Federated Learning by Partial Message Exchange Numerical optimization,

Reference 36

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This paper cites Asynchronous Stochastic Gradient Descent with Delay Compensation.

Decentralized Federated Learning by Partial Message Exchange Asynchronous Stochastic Gradient Descent with Delay Compensation

Reference 37

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Decentralized Federated Learning by Partial Message Exchange Parallel restarted sgd with faster convergence and less communication: Demystify- ing why model averaging works for deep learning,

Reference 38

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This paper cites Cooperative sgd: A unified framework for the design and analysis of local-update sgd algorithms,.

Decentralized Federated Learning by Partial Message Exchange Cooperative sgd: A unified framework for the design and analysis of local-update sgd algorithms,

Reference 39

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Decentralized Federated Learning by Partial Message Exchange Communication-efficient learning of deep networks from decentralized data,

Reference 40

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This paper cites On the Convergence of FedAvg on Non-IID Data.

Decentralized Federated Learning by Partial Message Exchange On the Convergence of FedAvg on Non-IID Data

Reference 41

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Decentralized Federated Learning by Partial Message Exchange Federated optimization in heterogeneous networks,

Reference 42

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Decentralized Federated Learning by Partial Message Exchange Fedgia: An efficient hybrid algorithm for federated learning,

Reference 43

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This paper cites The sparse vector technique, revisited,.

Decentralized Federated Learning by Partial Message Exchange The sparse vector technique, revisited,

Reference 44

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Decentralized Federated Learning by Partial Message Exchange Improving sparse vector tech- nique with renyi differential privacy,

Reference 45

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Decentralized Federated Learning by Partial Message Exchange Secure federated averaging algorithm with differential privacy,

Reference 46

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This paper cites Federated Stochastic Primal-dual Learning with Differential Privacy.

Decentralized Federated Learning by Partial Message Exchange Federated Stochastic Primal-dual Learning with Differential Privacy

Reference 47

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

Decentralized Federated Learning by Partial Message Exchange Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 48

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Decentralized Federated Learning by Partial Message Exchange Deep residual learning for image recognition,

Reference 49

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Decentralized Federated Learning by Partial Message Exchange Learning multiple layers of features from tiny images,

Reference 50

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Decentralized Federated Learning by Partial Message Exchange This is adopted for analytical convenience without loss of generality

Reference 51

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Decentralized Federated Learning by Partial Message Exchange That is, at every iteration, nodeiselects the same number of neighbor nodes to join in the training

Reference 52

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Decentralized Federated Learning by Partial Message Exchange Again, this is adopted for analytical convenience without loss of generality

Reference 53

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Decentralized Federated Learning by Partial Message Exchange wk iℓ − 1 r X j∈N k i,ℓ wk jℓ !2 λk i,ℓ =r # +P(λ k i,ℓ = 0)E h (wk iℓ −w k iℓ)2 λk i,ℓ = 0 i = tiX r=1 P(λk i,ℓ =r)E

Reference 54

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Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

Reference 55

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Decentralized Federated Learning by Partial Message Exchange Proof.Since 1) has been shown in Lemma 3, we only prove 2)

Reference 56

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Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

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Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

Reference 58

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Unavailable: canonical work link unavailable.

Observation a8fd5d4a-8a5f-4608-96dd-0ac4df236f9e · outbound

This paper cites Proof.1) By the triangle inequality and Cauchy-Schwarz: ∥Ewk+1 −Ew k∥ ≤E∥wk+1 −w k∥ ≤ q E∥wk+1 −w k∥2 ≤ c γk/2.

Decentralized Federated Learning by Partial Message Exchange Proof.1) By the triangle inequality and Cauchy-Schwarz: ∥Ewk+1 −Ew k∥ ≤E∥wk+1 −w k∥ ≤ q E∥wk+1 −w k∥2 ≤ c γk/2

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:16.752234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0c8556-5887-4ea9-b2c0-f5e879c438f7 · outbound

This paper cites This implies that there is a constantc >0such that |f(w k)−f(w ∞)| ≤c∥wk −w ∞∥.

Decentralized Federated Learning by Partial Message Exchange This implies that there is a constantc >0such that |f(w k)−f(w ∞)| ≤c∥wk −w ∞∥

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:16.836477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97cb2a7-caa5-4d6d-a14e-a5f0f747549f · outbound

This paper cites We first showlim N→∞ ∆N = 0.

Decentralized Federated Learning by Partial Message Exchange We first showlim N→∞ ∆N = 0

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:16.918147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65d6cd7-3f14-4568-bd50-8f784f7286f5 · outbound

This paper cites an unresolved cited work.

Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:17.031119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ef97ead-80c7-46f7-badd-350516c3e562 · outbound

This paper cites an unresolved cited work.

Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:17.093131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9180cca-c463-4718-9698-2c356009f791 · outbound

This paper cites Proof.1) From (75) and (74), sequence{ eH k}is non-increasing and bounded from below.

Decentralized Federated Learning by Partial Message Exchange Proof.1) From (75) and (74), sequence{ eH k}is non-increasing and bounded from below

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:17.148277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b0aa7e-2471-494c-a7c4-de3a5518fa6a · outbound

This paper cites It is easy to checkϖ k ∈N(2δ) for allk≥0.

Decentralized Federated Learning by Partial Message Exchange It is easy to checkϖ k ∈N(2δ) for allk≥0

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:17.216349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ae75f1-27bf-4814-bcb2-18ed97f10658 · outbound

This paper cites an unresolved cited work.

Decentralized Federated Learning by Partial Message Exchange Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:17.278048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 42b2c74a-bae9-4e82-bb26-2bd2f91b8fa4 · inbound

TallyTrain: Communication-Efficient Federated Distillation cites this paper.

TallyTrain: Communication-Efficient Federated Distillation Decentralized Federated Learning by Partial Message Exchange

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:54.296089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.