Paper Citation Record · LEDGER

An Information-Theoretic Analysis for Federated Learning under Concept Drift

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.21036.

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

pith.paper-citation-record.v1
2506.21036 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:43:30.668379Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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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

48 of 48 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0adac693-ae10-4fcd-9962-8be62b646b82 · outbound

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

An Information-Theoretic Analysis for Federated Learning under Concept Drift Advances and open problems in federated learning,

Reference 1

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Observation c08df2ad-cf1f-4ec4-83eb-4554c11aa8b3 · outbound

This paper cites Incentive mechanism design for federated learning and unlearning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Incentive mechanism design for federated learning and unlearning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:40.981547Z

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Observation 26a8811c-643b-4165-8b5c-be75095b4573 · outbound

This paper cites Cache-enabled federated learning systems,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Cache-enabled federated learning systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:40.782286Z

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This paper cites Anarchic federated learning with delayed gradient averaging,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Anarchic federated learning with delayed gradient averaging,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:40.595465Z

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Observation bca6fcad-f42f-4823-9708-225c1503bfdd · outbound

This paper cites MIND: A large-scale dataset for news recommendation,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift MIND: A large-scale dataset for news recommendation,

Reference 5

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Observation 6f2e2eab-47c8-43e1-9aa1-22ae847099ba · outbound

This paper cites Learning under concept drift: A review,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Learning under concept drift: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:40.139930Z

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Observation fe819987-454e-49bc-821c-6b63e3a75af9 · outbound

This paper cites A survey on concept drift adaptation,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift A survey on concept drift adaptation,

Reference 7

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Observation df8cde1c-e8ff-4f3d-8e0d-b441fd81d598 · outbound

This paper cites Paired learners for concept drift,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Paired learners for concept drift,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:39.716279Z

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This paper cites Learning from time-changing data with adaptive windowing,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Learning from time-changing data with adaptive windowing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:39.466968Z

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Observation 23b7be31-8c90-4290-83f2-ff9362760173 · outbound

This paper cites Mining time-changing data streams,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Mining time-changing data streams,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:39.144916Z

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Observation a8af10d4-66c7-4def-ad11-9005f00c4059 · outbound

This paper cites Accurate decision trees for mining high-speed data streams,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Accurate decision trees for mining high-speed data streams,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:38.832350Z

Source-reported events for the cited work

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Observation 209b2806-dbf8-4f14-b5e2-a0045c715a7d · outbound

This paper cites Dynamic extreme learning machine for data stream classification,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Dynamic extreme learning machine for data stream classification,

Reference 12

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Observation 3cf42bd6-b332-4bd2-982a-55befcc35fb9 · outbound

This paper cites Federated continual learning with weighted inter-client transfer,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Federated continual learning with weighted inter-client transfer,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:38.515593Z

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Observation 9e8c8f56-d3fb-4feb-9c7b-d7b5f52c081a · outbound

This paper cites Fedhar: Semi-supervised online learning for personalized federated human activity recognition,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Fedhar: Semi-supervised online learning for personalized federated human activity recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:38.266321Z

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Observation 0eb09002-87f9-4990-a4ba-0bd0a37f2eaf · outbound

This paper cites Federated learning under distributed concept drift,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Federated learning under distributed concept drift,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:38.058034Z

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Observation 850e0e13-5650-405b-99d0-050535f9f2dc · outbound

This paper cites Adap- tive federated learning in presence of concept drift,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Adap- tive federated learning in presence of concept drift,

Reference 16

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Observation e013b8aa-510f-4edb-abed-2a160e85d688 · outbound

This paper cites Flash: Concept drift adaptation in federated learning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Flash: Concept drift adaptation in federated learning,

Reference 17

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Observation 3cd40fc3-b006-4763-a532-979ef7c5f64c · outbound

This paper cites Shalev-Shwartz and S.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Shalev-Shwartz and S

Reference 18

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Observation d86e2c22-8b42-460c-b73d-69933ac50edb · outbound

This paper cites Some pac-bayesian theorems,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Some pac-bayesian theorems,

Reference 19

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Observation cd6b9d33-2d24-4255-a72e-7349331336d7 · outbound

This paper cites Tightening mutual information- based bounds on generalization error,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Tightening mutual information- based bounds on generalization error,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:37.142530Z

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Observation 38a3e265-c823-4d80-886b-711de6ba4c9a · outbound

This paper cites Information-theoretic analysis for transfer learning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Information-theoretic analysis for transfer learning,

Reference 21

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Observation 9c927a96-ae0d-468b-b2c6-e8f9ffe5566c · outbound

This paper cites Principles of risk minimization for learning theory,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Principles of risk minimization for learning theory,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:36.648155Z

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Observation e1acdec8-05b1-493b-b15d-5dc26626b422 · outbound

This paper cites Decision tree classifier: a detailed survey,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Decision tree classifier: a detailed survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:36.273429Z

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Observation 4cf5f2bb-990e-42f9-9dd0-43a8f34541de · outbound

This paper cites Classifier clustering and feature alignment for federated learning under distributed concept drift,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Classifier clustering and feature alignment for federated learning under distributed concept drift,

Reference 24

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Observation 2094a81b-6391-4c03-9c12-51bea8b256c1 · outbound

This paper cites A multi-model approach for handling concept drifting data in federated learning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift A multi-model approach for handling concept drifting data in federated learning,

Reference 25

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Observation 86dcb74a-8526-4e21-8880-d67af75ac029 · outbound

This paper cites A new approach to seasonal energy consumption forecasting using temporal convolutional networks,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift A new approach to seasonal energy consumption forecasting using temporal convolutional networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:35.144523Z

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Observation 2f7bbc38-4c70-4fbe-ac73-87c574b3c80a · outbound

This paper cites Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a covid-19 lockdown,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a covid-19 lockdown,

Reference 27

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This paper cites Detecting environmental change: science and society—perspectives on long-term research and monitoring in the 21st century,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Detecting environmental change: science and society—perspectives on long-term research and monitoring in the 21st century,

Reference 28

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Observation f1813dd7-e5ed-4e7e-895a-f0762a0dcdc3 · outbound

This paper cites Improved information-theoretic generalization bounds for distributed, federated, and iterative learning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Improved information-theoretic generalization bounds for distributed, federated, and iterative learning,

Reference 29

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Observation 58aa9f40-0b9f-4bb9-946f-47e5de70b6c6 · outbound

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An Information-Theoretic Analysis for Federated Learning under Concept Drift Boucheron, G

Reference 30

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Observation a1745027-ee5f-446f-916f-edb4a5b92c6e · outbound

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An Information-Theoretic Analysis for Federated Learning under Concept Drift Stability and generalization,

Reference 31

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This paper cites Information-theoretic analysis of generaliza- tion capability of learning algorithms,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Information-theoretic analysis of generaliza- tion capability of learning algorithms,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:33.256206Z

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Observation d3b3bf46-f8d7-4ad3-9101-cc2d24e7870b · outbound

This paper cites On balancing bias and variance in unsupervised multi-source-free domain adaptation,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift On balancing bias and variance in unsupervised multi-source-free domain adaptation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:32.946996Z

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Observation 407938fc-3da9-4f62-a0c5-7398ca4e4d25 · outbound

This paper cites How does distribution matching help domain generalization: An information- theoretic analysis,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift How does distribution matching help domain generalization: An information- theoretic analysis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:32.670422Z

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An Information-Theoretic Analysis for Federated Learning under Concept Drift KL guided domain adaptation,

Reference 35

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Observation 0ba1c162-cdad-42e3-99c1-0ab6f9365513 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Communication-efficient learning of deep networks from decentralized data,

Reference 36

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Observation d9b47a76-678b-45c8-bb4f-543724ddb6f0 · outbound

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An Information-Theoretic Analysis for Federated Learning under Concept Drift Federated optimization in heterogeneous networks,

Reference 37

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Observation 25b323f6-761a-4448-bfb2-44ec0b34aecf · outbound

This paper cites A blockchain-empowered incentive mechanism for cross-silo federated learning,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift A blockchain-empowered incentive mechanism for cross-silo federated learning,

Reference 38

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Observation ce79ea09-efcf-4c25-ac2b-40fc866b14e5 · outbound

This paper cites Federated learning over wireless networks: Optimization model design and analysis,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Federated learning over wireless networks: Optimization model design and analysis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:31.755644Z

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This paper cites Learning with drift detection,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Learning with drift detection,

Reference 40

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An Information-Theoretic Analysis for Federated Learning under Concept Drift The MNIST database,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:31.462146Z

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Observation 07666ea7-38cd-4a2a-a518-05aecca9de52 · outbound

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

An Information-Theoretic Analysis for Federated Learning under Concept Drift Learning multiple layers of features from tiny images,

Reference 42

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Observation 933da1e9-7d16-4563-9418-92c9075e929b · outbound

This paper cites Non-iid data and continual learning processes in federated learning: A long road ahead,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Non-iid data and continual learning processes in federated learning: A long road ahead,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:31.347068Z

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Observation 6972ca9b-7de8-4912-982e-0e7e579459a4 · outbound

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

An Information-Theoretic Analysis for Federated Learning under Concept Drift Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 44

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Observation 293ea58d-2e9e-44c1-9bc4-4aa83f2dbd4a · outbound

This paper cites Speedtest global index,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Speedtest global index,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:31.222732Z

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Observation fb78fd2b-3167-4cd4-9efd-81f20ac1291e · outbound

This paper cites Cloud services pricing,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Cloud services pricing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:31.084379Z

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Observation 6b0c54d7-5e05-4877-9153-95d58babb693 · outbound

This paper cites En- ergy consumption in mobile phones: a measurement study and im- plications for network applications,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift En- ergy consumption in mobile phones: a measurement study and im- plications for network applications,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:30.995748Z

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Observation a1157552-f3e8-4e3e-a3c4-b1a4ebb5450e · outbound

This paper cites Electricity prices in Canada 2020,.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Electricity prices in Canada 2020,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:30.879337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.