Label-shift robust federated feature screening for high-dimensional classification | Paper Citation Record

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This paper cites write newline.

Label-shift robust federated feature screening for high-dimensional classification write newline

Reference 1

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This paper cites Federated Learning Based on Dynamic Regularization.

Label-shift robust federated feature screening for high-dimensional classification Federated Learning Based on Dynamic Regularization

Reference 2

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This paper cites Controlling the false discovery rate via knockoffs.

Label-shift robust federated feature screening for high-dimensional classification Controlling the false discovery rate via knockoffs

Reference 3

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Observation c6c1df36-a818-44f5-90c3-3fca76c99b43 · outbound

This paper cites Federated learning of predictive models from federated electronic health records.

Label-shift robust federated feature screening for high-dimensional classification Federated learning of predictive models from federated electronic health records

Reference 4

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This paper cites Distributed algorithms for u-statistics-based empirical risk minimization.

Label-shift robust federated feature screening for high-dimensional classification Distributed algorithms for u-statistics-based empirical risk minimization

Reference 5

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This paper cites Distributed statistical inference for massive data.

Label-shift robust federated feature screening for high-dimensional classification Distributed statistical inference for massive data

Reference 6

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This paper cites Distributed high-dimensional regression under a quantile loss function.

Label-shift robust federated feature screening for high-dimensional classification Distributed high-dimensional regression under a quantile loss function

Reference 7

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This paper cites Model-free feature screening for ultrahigh dimensional discriminant analysis.

Label-shift robust federated feature screening for high-dimensional classification Model-free feature screening for ultrahigh dimensional discriminant analysis

Reference 8

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This paper cites Imagenet: A large-scale hierarchical image database.

Label-shift robust federated feature screening for high-dimensional classification Imagenet: A large-scale hierarchical image database

Reference 9

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This paper cites Distributed variable screening for generalized linear models, 2024.

Label-shift robust federated feature screening for high-dimensional classification Distributed variable screening for generalized linear models, 2024

Reference 10

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This paper cites High dimensional classification using features annealed independence rules.

Label-shift robust federated feature screening for high-dimensional classification High dimensional classification using features annealed independence rules

Reference 11

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This paper cites Ultrahigh dimensional feature selection: beyond the linear model.

Label-shift robust federated feature screening for high-dimensional classification Ultrahigh dimensional feature selection: beyond the linear model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:07.150380Z

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Observation ec9384d7-f7a8-4cb0-b118-d3e9c41d079f · outbound

This paper cites Nonparametric independence screening in sparse ultra-high-dimensional additive models.

Label-shift robust federated feature screening for high-dimensional classification Nonparametric independence screening in sparse ultra-high-dimensional additive models

Reference 13

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This paper cites Mining big data: current status, and forecast to the future.

Label-shift robust federated feature screening for high-dimensional classification Mining big data: current status, and forecast to the future

Reference 14

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This paper cites Local model poisoning attacks to \ Byzantine-Robust \ federated learning.

Label-shift robust federated feature screening for high-dimensional classification Local model poisoning attacks to \ Byzantine-Robust \ federated learning

Reference 15

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This paper cites Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.

Label-shift robust federated feature screening for high-dimensional classification Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence

Reference 16

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Observation 160fbaea-c858-43d8-8bd8-61540197d0c6 · outbound

This paper cites Federated learning for medical image analysis: A survey.

Label-shift robust federated feature screening for high-dimensional classification Federated learning for medical image analysis: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:05.891700Z

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Observation dfdde86e-3986-4a51-83d3-67bce7f9b819 · outbound

This paper cites Threshold selection in feature screening for error rate control.

Label-shift robust federated feature screening for high-dimensional classification Threshold selection in feature screening for error rate control

Reference 18

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This paper cites Federated visual classification with real-world data distribution.

Label-shift robust federated feature screening for high-dimensional classification Federated visual classification with real-world data distribution

Reference 19

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Observation 9ed43693-f970-4f1a-a32b-8dfa63b64eff · outbound

This paper cites A distributed one-step estimator.

Label-shift robust federated feature screening for high-dimensional classification A distributed one-step estimator

Reference 20

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Observation 4ee8cda2-781a-4e54-a09d-b0fa44a3a919 · outbound

This paper cites Learn from others and be yourself in heterogeneous federated learning.

Label-shift robust federated feature screening for high-dimensional classification Learn from others and be yourself in heterogeneous federated learning

Reference 21

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Observation 8a9b6f16-5acf-4801-97c3-83054c71af9e · outbound

This paper cites Communication-efficient distributed statistical inference.

Label-shift robust federated feature screening for high-dimensional classification Communication-efficient distributed statistical inference

Reference 22

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This paper cites Advances and open problems in federated learning.

Label-shift robust federated feature screening for high-dimensional classification Advances and open problems in federated learning

Reference 23

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

Label-shift robust federated feature screening for high-dimensional classification Scaffold: Stochastic controlled averaging for federated learning

Reference 24

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Observation 51d533f7-dd91-4150-91e4-ccf2bcc4e4a8 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

Label-shift robust federated feature screening for high-dimensional classification Federated learning on non-iid data silos: An experimental study

Reference 25

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Label-shift robust federated feature screening for high-dimensional classification Federated optimization in heterogeneous networks

Reference 26

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This paper cites Privacy-preserving federated brain tumour segmentation.

Label-shift robust federated feature screening for high-dimensional classification Privacy-preserving federated brain tumour segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:04.357393Z

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Observation a5d3ad86-051c-4abb-8a56-cb118a07231f · outbound

This paper cites Feature screening with conditional rank utility for big-data classification.

Label-shift robust federated feature screening for high-dimensional classification Feature screening with conditional rank utility for big-data classification

Reference 28

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This paper cites Distributed feature screening via componentwise debiasing.

Label-shift robust federated feature screening for high-dimensional classification Distributed feature screening via componentwise debiasing

Reference 29

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This paper cites A selective overview of feature screening for ultrahigh-dimensional data.

Label-shift robust federated feature screening for high-dimensional classification A selective overview of feature screening for ultrahigh-dimensional data

Reference 30

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Label-shift robust federated feature screening for high-dimensional classification Model-free feature screening and fdr control with knockoff features

Reference 31

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This paper cites Real-World Image Datasets for Federated Learning.

Label-shift robust federated feature screening for high-dimensional classification Real-World Image Datasets for Federated Learning

Reference 32

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Label-shift robust federated feature screening for high-dimensional classification No fear of heterogeneity: Classifier calibration for federated learning with non-iid data

Reference 33

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This paper cites The fused kolmogorov filter: A nonparametric model-free screening method.

Label-shift robust federated feature screening for high-dimensional classification The fused kolmogorov filter: A nonparametric model-free screening method

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:03.147126Z

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This paper cites Image-based crop disease detection with federated learning.

Label-shift robust federated feature screening for high-dimensional classification Image-based crop disease detection with federated learning

Reference 35

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

Label-shift robust federated feature screening for high-dimensional classification Communication-efficient learning of deep networks from decentralized data

Reference 36

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Label-shift robust federated feature screening for high-dimensional classification Communication-efficient distributed ai strategies for the iot edge

Reference 37

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This paper cites Lightweight federated learning for stis/hiv prediction.

Label-shift robust federated feature screening for high-dimensional classification Lightweight federated learning for stis/hiv prediction

Reference 38

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This paper cites Ultrahigh-dimensional multiclass linear discriminant analysis by pairwise sure independence screening.

Label-shift robust federated feature screening for high-dimensional classification Ultrahigh-dimensional multiclass linear discriminant analysis by pairwise sure independence screening

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:02.110426Z

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Observation d883ea56-f6d3-47c3-8e67-545a6a07a9a9 · outbound

This paper cites Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control.

Label-shift robust federated feature screening for high-dimensional classification Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control

Reference 40

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This paper cites A systematic review of federated learning in the healthcare area: From the perspective of data properties and applications.

Label-shift robust federated feature screening for high-dimensional classification A systematic review of federated learning in the healthcare area: From the perspective of data properties and applications

Reference 41

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This paper cites The future of digital health with federated learning.

Label-shift robust federated feature screening for high-dimensional classification The future of digital health with federated learning

Reference 42

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This paper cites Identification of anonymous mri research participants with face-recognition software.

Label-shift robust federated feature screening for high-dimensional classification Identification of anonymous mri research participants with face-recognition software

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:01.647502Z

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Observation 7487f859-30be-435a-ad7e-f7abf0ec59d2 · outbound

This paper cites Federated generalized face presentation attack detection.

Label-shift robust federated feature screening for high-dimensional classification Federated generalized face presentation attack detection

Reference 44

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Observation ce211c56-48b0-40df-887e-9defd5957afc · outbound

This paper cites Cancer statistics, 2024.

Label-shift robust federated feature screening for high-dimensional classification Cancer statistics, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:01.198970Z

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Observation 2b8d9377-cef1-4900-bd10-28a1bd3c1b42 · outbound

This paper cites Communication-Efficient Distributed Deep Learning: A Comprehensive Survey.

Label-shift robust federated feature screening for high-dimensional classification Communication-Efficient Distributed Deep Learning: A Comprehensive Survey

Reference 46

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Observation 7f9b0a44-d96a-4bd8-94a8-254f115be3be · outbound

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Label-shift robust federated feature screening for high-dimensional classification Model-free conditional feature screening with fdr control

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:00.977762Z

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Observation 06a0c481-26bb-4148-92a7-20e19775bcc3 · outbound

This paper cites A survey on distributed machine learning.

Label-shift robust federated feature screening for high-dimensional classification A survey on distributed machine learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:00.714006Z

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Observation 9472587b-2984-4d8d-bb95-19e005dead2f · outbound

This paper cites Distributed and secure federated learning for wireless computing power networks.

Label-shift robust federated feature screening for high-dimensional classification Distributed and secure federated learning for wireless computing power networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:00.355621Z

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This paper cites Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data.

Label-shift robust federated feature screening for high-dimensional classification Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:00.102722Z

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This paper cites Federated learning for healthcare informatics.

Label-shift robust federated feature screening for high-dimensional classification Federated learning for healthcare informatics

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:57.050162Z

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Observation d42c098a-c8c7-400f-bfe2-ff0fa56e1dac · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates.

Label-shift robust federated feature screening for high-dimensional classification Byzantine-robust distributed learning: Towards optimal statistical rates

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.838038Z

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Observation 54b1df26-802d-481b-bf35-58bfff5273bc · outbound

This paper cites Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data.

Label-shift robust federated feature screening for high-dimensional classification Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.726305Z

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Observation 0e890b6e-2557-409d-89bd-76d0df8d07cd · outbound

This paper cites Multiple bayesian discriminant functions for high-dimensional massive data classification.

Label-shift robust federated feature screening for high-dimensional classification Multiple bayesian discriminant functions for high-dimensional massive data classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.613095Z

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Observation 49b0ba98-919c-4d32-8997-f55ebf68f4de · outbound

This paper cites Federated learning with label distribution skew via logits calibration.

Label-shift robust federated feature screening for high-dimensional classification Federated learning with label distribution skew via logits calibration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.428477Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eeb7255-36d0-40bf-ab90-7a34f7fc961f · outbound

This paper cites Model-free feature screening for ultrahigh-dimensional data.

Label-shift robust federated feature screening for high-dimensional classification Model-free feature screening for ultrahigh-dimensional data

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.306129Z

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Observation 413f5780-713f-411a-a9a0-ce979e61dd82 · outbound

This paper cites Feature screening for massive data analysis by subsampling.

Label-shift robust federated feature screening for high-dimensional classification Feature screening for massive data analysis by subsampling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:13:56.195821Z

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