Paper Citation Record · LEDGER

Strategic Incentivization for Locally Differentially Private Federated Learning

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.07138.

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

pith.paper-citation-record.v1
2508.07138 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:25:20.102168Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

44 of 44 outbound references displayed

verified exact5
verified fuzzy32
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 257750c2-8e11-40d1-ac57-edbcca7961f7 · outbound

This paper cites Towards efficient and privacy-preserving federated deep learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning Towards efficient and privacy-preserving federated deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.635561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15c43a60-173c-4957-99fa-7fc5fc722e4d · outbound

This paper cites Collecting telemetry data privately,.

Strategic Incentivization for Locally Differentially Private Federated Learning Collecting telemetry data privately,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.626542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebd1b27d-c076-4d21-a4a8-0d9246a1b325 · outbound

This paper cites Motivating Workers in Federated Learning: A Stackelberg Game Perspective.

Strategic Incentivization for Locally Differentially Private Federated Learning Motivating Workers in Federated Learning: A Stackelberg Game Perspective

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:19.961303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74a1fb4-2340-4757-bea6-a8da54e876a7 · outbound

This paper cites A learning-based incentive mechanism for federated learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning A learning-based incentive mechanism for federated learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.616307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de76ac6d-1da4-4a68-bdd5-81f40c408cd8 · outbound

This paper cites Joint Service Pricing and Cooperative Relay Communication for Federated Learning.

Strategic Incentivization for Locally Differentially Private Federated Learning Joint Service Pricing and Cooperative Relay Communication for Federated Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:25:20.235826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cfc1c49-774b-4d0a-be99-9614ff4d8d40 · outbound

This paper cites Fmore: An incentive scheme of multi-dimensional auction for federated learning in mec,.

Strategic Incentivization for Locally Differentially Private Federated Learning Fmore: An incentive scheme of multi-dimensional auction for federated learning in mec,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.604730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7078946-ed7b-4675-8124-d422137e3116 · outbound

This paper cites Toward an Automated Auction Framework for Wireless Federated Learning Services Market.

Strategic Incentivization for Locally Differentially Private Federated Learning Toward an Automated Auction Framework for Wireless Federated Learning Services Market

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:25:20.217377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d65d2bad-ade3-40c1-b79a-9b804f839887 · outbound

This paper cites Auction based incentive design for efficient federated learning in cellular wireless networks,.

Strategic Incentivization for Locally Differentially Private Federated Learning Auction based incentive design for efficient federated learning in cellular wireless networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.594074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ac427f4-6126-4379-be5a-62859978ab31 · outbound

This paper cites Incentivized federated learning with local differential privacy using permissioned blockchains,.

Strategic Incentivization for Locally Differentially Private Federated Learning Incentivized federated learning with local differential privacy using permissioned blockchains,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.583260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 890cce81-9320-4400-b352-7ff54cdde044 · outbound

This paper cites Blockchain based secure federated learning with local differential privacy and incentivization,.

Strategic Incentivization for Locally Differentially Private Federated Learning Blockchain based secure federated learning with local differential privacy and incentivization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.571944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba547c24-4511-471c-b99a-fed5c8f0c636 · outbound

This paper cites Incentive mechanism for differentially private federated learning in industrial internet of things,.

Strategic Incentivization for Locally Differentially Private Federated Learning Incentive mechanism for differentially private federated learning in industrial internet of things,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.561764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fa7d81c-4179-49c0-8966-b6e486902555 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Strategic Incentivization for Locally Differentially Private Federated Learning The mnist database of handwritten digit images for machine learning research,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:19.995615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747e7592-df53-47a3-82e5-c7ff1efea83e · outbound

This paper cites Learning multiple layers of features from tiny images,.

Strategic Incentivization for Locally Differentially Private Federated Learning Learning multiple layers of features from tiny images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.546497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fcb46a1-2490-452c-9e87-47b64a22b21b · outbound

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

Strategic Incentivization for Locally Differentially Private Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:20.001993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93369284-8a6b-4a79-ae5d-72ae8ca09848 · outbound

This paper cites What is federated learning?.

Strategic Incentivization for Locally Differentially Private Federated Learning What is federated learning?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.536615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1776a2a1-aa74-440d-bbf7-e3b772dfc68f · outbound

This paper cites Advances and open problems in federated learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning Advances and open problems in federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.527600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e6c550c-3176-48b3-a2ca-4b41742bf3c0 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Strategic Incentivization for Locally Differentially Private Federated Learning Calibrating noise to sensitivity in private data analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.518552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08ec8079-429d-4c73-8247-c777b10d8a46 · outbound

This paper cites Local Differential Privacy and Its Applications: A Comprehensive Survey.

Strategic Incentivization for Locally Differentially Private Federated Learning Local Differential Privacy and Its Applications: A Comprehensive Survey

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:25:20.188710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdca56d0-4672-4e49-92b1-d3c92923a237 · outbound

This paper cites What can we learn privately?.

Strategic Incentivization for Locally Differentially Private Federated Learning What can we learn privately?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.509094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b841a8d4-c7f2-4364-9b7b-8920e88cee6c · outbound

This paper cites Differentially private asynchronous federated learning for mobile edge computing in urban informatics,.

Strategic Incentivization for Locally Differentially Private Federated Learning Differentially private asynchronous federated learning for mobile edge computing in urban informatics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.499217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36c95c36-6a75-48bb-907b-fbf81064355f · outbound

This paper cites Ldp-fed: Federated learning with local differential privacy,.

Strategic Incentivization for Locally Differentially Private Federated Learning Ldp-fed: Federated learning with local differential privacy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.488989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6dba5f0c-f956-46f8-9a05-4071be871935 · outbound

This paper cites Local differential privacy-based federated learning for internet of things,.

Strategic Incentivization for Locally Differentially Private Federated Learning Local differential privacy-based federated learning for internet of things,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.480042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79a2b1bb-7fd1-4ec9-855a-46ebff3edf05 · outbound

This paper cites LDP-FL: Practical private aggregation in federated learning with local differential privacy,.

Strategic Incentivization for Locally Differentially Private Federated Learning LDP-FL: Practical private aggregation in federated learning with local differential privacy,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.470906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 808d87aa-f5f1-4943-b1bc-626683df1738 · outbound

This paper cites Nisan et al., Algorithmic Game Theory.

Strategic Incentivization for Locally Differentially Private Federated Learning Nisan et al., Algorithmic Game Theory

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.461395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9bd2895b-5799-4efe-91b1-f1646dd72986 · outbound

This paper cites Ldp-fl: Practical private aggregation in federated learning with local differential privacy,.

Strategic Incentivization for Locally Differentially Private Federated Learning Ldp-fl: Practical private aggregation in federated learning with local differential privacy,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.452022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4088775e-0f6b-4f85-90bb-107c2e7b69f5 · outbound

This paper cites Local differential privacy for federated learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning Local differential privacy for federated learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.443125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c5bcce3-65c0-4037-afd3-6562e16c47f3 · outbound

This paper cites Incentivizing Federated Learning.

Strategic Incentivization for Locally Differentially Private Federated Learning Incentivizing Federated Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:20.045086Z

Source-reported events for the cited work

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Observation fb5c8c42-4f1a-4be2-833a-beabc4d7d5a4 · outbound

This paper cites Towards Fair and Privacy-Preserving Federated Deep Models.

Strategic Incentivization for Locally Differentially Private Federated Learning Towards Fair and Privacy-Preserving Federated Deep Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:25:20.150822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88c0e9f4-f271-4b4c-98b6-65b93fb5dab8 · outbound

This paper cites Incentive-aware federated learning with training- time model rewards,.

Strategic Incentivization for Locally Differentially Private Federated Learning Incentive-aware federated learning with training- time model rewards,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.431964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba856bab-5014-4c20-a4ff-95ca34f2cb2b · outbound

This paper cites A sustainable incentive scheme for federated learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning A sustainable incentive scheme for federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.421952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb203324-5bf6-442b-8446-b87486034988 · outbound

This paper cites A note on stackelberg games,.

Strategic Incentivization for Locally Differentially Private Federated Learning A note on stackelberg games,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.411871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15c9ad9b-8808-4495-a508-c3641a3b9019 · outbound

This paper cites Optimality and Stability in Federated Learning: A Game-theoretic Approach.

Strategic Incentivization for Locally Differentially Private Federated Learning Optimality and Stability in Federated Learning: A Game-theoretic Approach

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:25:20.136749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e38cd88c-0a8d-4d0c-81d4-f5007360e219 · outbound

This paper cites Stackelberg game approach for resource alloca- tion in device-to-device communication with heterogeneous networks,.

Strategic Incentivization for Locally Differentially Private Federated Learning Stackelberg game approach for resource alloca- tion in device-to-device communication with heterogeneous networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.401784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c643ce8-7acc-4d27-8b90-05d0e69f0d45 · outbound

This paper cites A game theory-based incentive mechanism for collabora- tive security of federated learning in energy blockchain environment,.

Strategic Incentivization for Locally Differentially Private Federated Learning A game theory-based incentive mechanism for collabora- tive security of federated learning in energy blockchain environment,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.392243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ea2b735-21a6-46b6-8254-387ae250e186 · outbound

This paper cites Decentral and incentivized federated learning frame- works: A systematic literature review,.

Strategic Incentivization for Locally Differentially Private Federated Learning Decentral and incentivized federated learning frame- works: A systematic literature review,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.380316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43ae0dc5-29f2-4f4d-bdb3-256ba022432c · outbound

This paper cites When federated learning meets game theory: A cooperative framework to secure iiot applications on edge computing,.

Strategic Incentivization for Locally Differentially Private Federated Learning When federated learning meets game theory: A cooperative framework to secure iiot applications on edge computing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.368430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81ac068e-54ad-4fce-be16-87862ab1eff8 · outbound

This paper cites A game-theoretic approach for federated learning: A trade- off among privacy, accuracy and energy,.

Strategic Incentivization for Locally Differentially Private Federated Learning A game-theoretic approach for federated learning: A trade- off among privacy, accuracy and energy,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.356858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 729bc399-4c83-40a8-9648-44baa7481c32 · outbound

This paper cites A game-theoretic approach for robust federated learning,.

Strategic Incentivization for Locally Differentially Private Federated Learning A game-theoretic approach for robust federated learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.343228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ccaf9b1-1c83-4cd0-a3db-2e69240ff477 · outbound

This paper cites Collaboration in participant-centric federated learning: A game-theoretical perspective,.

Strategic Incentivization for Locally Differentially Private Federated Learning Collaboration in participant-centric federated learning: A game-theoretical perspective,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.325688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b23c3aa-6f93-49c9-94cc-2e9d32d9c12a · outbound

This paper cites an unresolved cited work.

Strategic Incentivization for Locally Differentially Private Federated Learning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:25:20.312606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7927dfe-c53d-4850-9d49-eb8493ada3cc · outbound

This paper cites an unresolved cited work.

Strategic Incentivization for Locally Differentially Private Federated Learning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:25:20.300205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 198addc4-d342-4433-8302-aecd73198cab · outbound

This paper cites an unresolved cited work.

Strategic Incentivization for Locally Differentially Private Federated Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:25:20.286770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 818d32f6-b5e1-4e91-bed5-1cd2993f8fee · outbound

This paper cites For the baseline scheme, we considered only use the MNIST dataset, while for the proposed schemes in the paper, we use both the MNIST and CIFAR10 datasets.

Strategic Incentivization for Locally Differentially Private Federated Learning For the baseline scheme, we considered only use the MNIST dataset, while for the proposed schemes in the paper, we use both the MNIST and CIFAR10 datasets

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.272897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0ce1862-8342-408a-a750-ec582766731c · outbound

This paper cites Figure 12 shows the accuracy of clients participating in the experiment same as in Figure 8a but with CIFAR10 dataset.

Strategic Incentivization for Locally Differentially Private Federated Learning Figure 12 shows the accuracy of clients participating in the experiment same as in Figure 8a but with CIFAR10 dataset

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:20.260448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.