CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning | Paper Citation Record

Observation bbcd7034-b9c0-4828-9963-dd60fdd59ca6 · outbound

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

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:28.569568Z

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Observation 6e9d17d3-b324-4fb1-9c45-67398f08e13d · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Federated learning: Challenges, methods, and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:17.721210Z

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Observation 8b585ec5-6291-413b-a77b-e66a987db3a4 · outbound

This paper cites Data pipeline challenges in privacy-preserving federated learn- ing,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data pipeline challenges in privacy-preserving federated learn- ing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:28.393619Z

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Observation 676c115e-be26-46d6-bacb-62c8116f7a6a · outbound

This paper cites The impact of data quality on federated versus centralized learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning The impact of data quality on federated versus centralized learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:28.237609Z

Source-reported events for the cited work

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Observation feb8cd33-3fe9-4315-ac11-7501e2459a07 · outbound

This paper cites The role of the data quality on model efficiency: An exploratory study on centralised and federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning The role of the data quality on model efficiency: An exploratory study on centralised and federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:28.058784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb4d05b1-abcc-4457-931d-dd3c3c316d72 · outbound

This paper cites Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Enhancing Data Quality in Federated Fine-Tuning of Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.104783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c9ea82-eb79-4a7a-9c18-059a09df5020 · outbound

This paper cites EIFFeL: Ensuring Integrity for Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning EIFFeL: Ensuring Integrity for Federated Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:23.903866Z

Source-reported events for the cited work

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Observation ade46f66-f0af-4bb8-97ea-344f18eafbec · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.285608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dcc4916-66d7-4648-b04a-0982cb24c2f7 · outbound

This paper cites Data readiness for ai: A 360-degree survey,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness for ai: A 360-degree survey,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.357865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa72f97-ef61-44b3-b311-b4e2440f347e · outbound

This paper cites Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai,

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:02:23.738393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ec969a6-fad3-4106-8d8e-39bab1882857 · outbound

This paper cites Enabling end-to- end secure federated learning in biomedical research on heterogeneous computing environments with appflx,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Enabling end-to- end secure federated learning in biomedical research on heterogeneous computing environments with appflx,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.862648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23034032-7953-4eea-b210-966652fd6a78 · outbound

This paper cites Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.645579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d03c7db-d8eb-4ab4-8dbc-9364f135ceff · outbound

This paper cites Appfl: open-source software framework for privacy-preserving federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Appfl: open-source software framework for privacy-preserving federated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.739650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca257a04-2d1c-4c5e-b645-2590137e1aa0 · outbound

This paper cites Dqlearn: A toolkit for structured data quality learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Dqlearn: A toolkit for structured data quality learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.607726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d92aec5c-460c-40d6-a976-0c1f5b8e7637 · outbound

This paper cites Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.929205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cda2b3b-c29e-457c-a3ed-ee4248dc933f · outbound

This paper cites Data readiness report,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness report,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.472074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a65fd493-7a46-4b9e-90ff-c617ad912e24 · outbound

This paper cites Automating large-scale data quality verification,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Automating large-scale data quality verification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.333434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ea65fd4-75bf-48e4-b705-530948fb6860 · outbound

This paper cites Holoclean: holistic data repairs with probabilistic inference,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Holoclean: holistic data repairs with probabilistic inference,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:19.162613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61dce4d8-d2dc-41f8-87eb-cdf5adb7c89a · outbound

This paper cites Data quality sla rule compliance and remediation,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data quality sla rule compliance and remediation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.174596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9ea94de-ff1c-4086-91f2-e0ad78b34f9c · outbound

This paper cites Tackling noisy clients in federated learning with end-to-end label correction,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Tackling noisy clients in federated learning with end-to-end label correction,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:19.382682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a886aa-1cfc-41af-835a-fd4393dd7eb5 · outbound

This paper cites Feddqa: A novel regularization-based deep learning method for data quality assessment in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Feddqa: A novel regularization-based deep learning method for data quality assessment in federated learning,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:02:23.325363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a3a7804-263a-4fae-8b72-ca4da55379d7 · outbound

This paper cites LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:23.108424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4939f75a-12c6-4ef4-b7e8-1de41dcf9360 · outbound

This paper cites Data Quality Control in Federated Instruction-tuning of Large Language Models.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data Quality Control in Federated Instruction-tuning of Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:22.918227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fd111a5-6604-415e-9a59-74fe0b52302d · outbound

This paper cites Industry 5.0,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Industry 5.0,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:27.012384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b2fa00b-716d-4d51-8ca2-8f868e2dd0d0 · outbound

This paper cites Available: https://research-and-innovation.ec.europa.eu/ research-area/industrial-research-and-innovation/industry-50 en.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Available: https://research-and-innovation.ec.europa.eu/ research-area/industrial-research-and-innovation/industry-50 en

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.823062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13fc100b-1cec-4e21-bd5d-9e597d2902ab · outbound

This paper cites On lines and planes of closest fit to systems of points in space,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning On lines and planes of closest fit to systems of points in space,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:19.863662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382ab74d-ff8d-4bdb-bd3f-9fb0e7ab22e3 · outbound

This paper cites A Survey on Class Imbalance in Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning A Survey on Class Imbalance in Federated Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:19.953404Z

Source-reported events for the cited work

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Observation 374cf6d5-6b4c-4d0c-8f03-08495f1160b8 · outbound

This paper cites Kohavi, “Adult,” UCI Machine Learning Repository, 1996, dOI: 10.24432/C5GP7S.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Kohavi, “Adult,” UCI Machine Learning Repository, 1996, dOI: 10.24432/C5GP7S

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:20.056478Z

Source-reported events for the cited work

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Observation 4da047f7-03ca-4834-9e4b-ef46923c434a · outbound

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

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:20.154025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170cfd71-c937-4d92-b774-44cb99499f8c · outbound

This paper cites Federated learning with buffered asynchronous aggregation,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Federated learning with buffered asynchronous aggregation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:20.243807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3751365-1bb0-4681-aef7-338e81a6862b · outbound

This paper cites FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:22.774577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc9ce94a-fe72-4248-83df-dadde3cae328 · outbound

This paper cites Differential privacy,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Differential privacy,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:20.416300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afdead26-3946-4b06-8d52-791ab0b1232a · outbound

This paper cites Data readiness assurance framework in appfl,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness assurance framework in appfl,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.669785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2a80bd5-fe7d-42af-8866-5b60a0c1304f · outbound

This paper cites An experimental study of class imbalance in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning An experimental study of class imbalance in federated learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.472105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b039441e-dc84-42f9-9092-46eb6e49ddc5 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Smote: Synthetic minority over-sampling technique,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.348564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9baa99e-8a82-4efd-9b2d-a750d92bab5d · outbound

This paper cites Fairness through awareness,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fairness through awareness,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.190244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5129602-c330-43a9-8a57-1c2505fc321f · outbound

This paper cites Stratified sam- pling meets machine learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Stratified sam- pling meets machine learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:26.063316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8976594-f491-455c-a42d-33620ffce062 · outbound

This paper cites Exploratory data analysis,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Exploratory data analysis,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:25.921662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bac20301-7672-4d58-ba99-209118b9c37e · outbound

This paper cites Protecting privacy when disclosing in- formation: k-anonymity and its enforcement through generalization and suppression,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Protecting privacy when disclosing in- formation: k-anonymity and its enforcement through generalization and suppression,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:25.758141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0356ddd-2766-4bf7-a775-9e908f15fae9 · outbound

This paper cites Mnist handwritten digit database,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Mnist handwritten digit database,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:25.579848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0772529a-9b85-40e2-9a76-7baa64f072d1 · outbound

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

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Learning multiple layers of features from tiny images,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:21.349870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4e3e1c-4f63-4ad8-87c4-145b3e975d9d · outbound

This paper cites FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:22.591631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c009d52-056f-451e-86d8-9fadaa39d0bf · outbound

This paper cites Flagship dataset of type 2 diabetes from the ai-readi project (1.0.0),.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Flagship dataset of type 2 diabetes from the ai-readi project (1.0.0),

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:25.368465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa97ebb9-1026-4391-886f-c7fdb77797cb · outbound

This paper cites Delta: Balancing gpu performance with advanced system interfaces,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Delta: Balancing gpu performance with advanced system interfaces,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:25.168065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d96bb49-eb0a-4157-9e34-5ab5cbfab554 · outbound

This paper cites FLamby IXI Dataset,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLamby IXI Dataset,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:24.917435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2de9b7be-b956-4912-b512-d2851686bac7 · outbound

This paper cites An Experimental Study of Class Imbalance in Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning An Experimental Study of Class Imbalance in Federated Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:22.404003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e84cc434-c5fb-450f-84b7-0ac786131767 · outbound

This paper cites an unresolved cited work.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:02:24.736573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b372fe3-8c1f-4d4e-904c-6e39c692a884 · outbound

This paper cites Fairness and accuracy in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fairness and accuracy in federated learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:24.516571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b062b41-5205-4eaa-b3f9-cc0b75f103d0 · outbound

This paper cites Partially-federated learning: A new approach to achieving privacy and effectiveness,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Partially-federated learning: A new approach to achieving privacy and effectiveness,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:24.279339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c0681a6-ede3-405e-b6b9-4660eb324c56 · outbound

This paper cites Fedmef: Towards memory-efficient federated dynamic pruning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fedmef: Towards memory-efficient federated dynamic pruning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:24.077552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers