FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity | Paper Citation Record

Observation 443d1907-f5a3-484c-bb49-156961e4c4f9 · outbound

This paper cites Procrustes-based distances for exploring between-matrices similarity.Statistical Methods & Applications, 32(3):867–882, 2023.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Procrustes-based distances for exploring between-matrices similarity.Statistical Methods & Applications, 32(3):867–882, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.763758Z

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Observation 2a1ced73-a540-4850-8f95-c4dbb0cce0a2 · outbound

This paper cites Adhd-200 global compe- tition: diagnosing adhd using personal characteristic data can outperform resting state fmri measurements.Frontiers in systems neuroscience, 6:69, 2012.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Adhd-200 global compe- tition: diagnosing adhd using personal characteristic data can outperform resting state fmri measurements.Frontiers in systems neuroscience, 6:69, 2012

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.753989Z

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Observation 4b5f34ab-a7fb-4276-b797-7db12be36ef9 · outbound

This paper cites Biomarker definitions and their applications.Experimental biology and medicine, 243(3):213–221, 2018.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Biomarker definitions and their applications.Experimental biology and medicine, 243(3):213–221, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.744632Z

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Observation 8511b81b-6651-4a3a-8889-673c965f286b · outbound

This paper cites Enhancing studies of the connectome in autism using the autism brain imaging data exchange ii.Scientific data, 4(1):1–15, 2017.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Enhancing studies of the connectome in autism using the autism brain imaging data exchange ii.Scientific data, 4(1):1–15, 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.734759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1d34029-aa38-4e42-be1a-a88761baa139 · outbound

This paper cites The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667, 2014.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667, 2014

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.214792Z

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Observation 0fe2200f-e01f-4db9-94d1-c35882abc109 · outbound

This paper cites an unresolved cited work.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T05:16:37.721247Z

Source-reported events for the cited work

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Observation b972b5cf-3906-493b-9daf-210d5a98eb8f · outbound

This paper cites FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.221189Z

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Observation f2bcabe7-de24-475d-96e6-b68aa19f2392 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Unsupervised domain adaptation by backpropagation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.224736Z

Source-reported events for the cited work

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Observation 8d1db0b5-84b7-4648-9535-37e64cd41080 · outbound

This paper cites Encoding and decoding of brain dynamic functional connectivity for adhd diagnosis.IEEE Journal of Biomedical and Health Informatics, 2026.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Encoding and decoding of brain dynamic functional connectivity for adhd diagnosis.IEEE Journal of Biomedical and Health Informatics, 2026

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.708083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8651a20a-4686-4d3d-b00a-b992ac802dc7 · outbound

This paper cites Generalized procrustes analysis.Psychometrika, 40(1):33–51, 1975.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Generalized procrustes analysis.Psychometrika, 40(1):33–51, 1975

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.700194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ceef5f14-bd7f-4311-9a0d-0c58be4caf98 · outbound

This paper cites Tucker decomposition for extracting shared and individual spatial maps from multi-subject resting-state fmri data.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Tucker decomposition for extracting shared and individual spatial maps from multi-subject resting-state fmri data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.692212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a8af472-2f5a-4a99-b5d6-0578cf7c0a0d · outbound

This paper cites A core tensor sparsity enhancement method for solving tucker-2 model of multi-subject fmri data.Biomedical Signal Processing and Control, 95:106471, 2024.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity A core tensor sparsity enhancement method for solving tucker-2 model of multi-subject fmri data.Biomedical Signal Processing and Control, 95:106471, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.683465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd1766f0-8e44-4584-b72a-fb5c3c775597 · outbound

This paper cites Federated multi-task learning for joint diagnosis of multiple mental disorders on mri scans.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Federated multi-task learning for joint diagnosis of multiple mental disorders on mri scans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.675238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b47df93-c8de-4c14-89cc-31897d78632b · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.244819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13057d0-e1a1-4c57-a4f1-5a6a72c12498 · outbound

This paper cites Adjusting batch effects in microarray expression data using empirical bayes methods.Biostatistics, 8(1):118–127, 2007.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Adjusting batch effects in microarray expression data using empirical bayes methods.Biostatistics, 8(1):118–127, 2007

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.666789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c6abb34-ae3e-4d26-bb6a-ed847b2b648e · outbound

This paper cites Energy-guided continuous entropic barycenter estimation for general costs.Advances in Neural Information Processing Systems, 37:107513–107546, 2024.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Energy-guided continuous entropic barycenter estimation for general costs.Advances in Neural Information Processing Systems, 37:107513–107546, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.657503Z

Source-reported events for the cited work

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Observation b0c5df2c-1e44-4917-9b5d-8ed65d92209d · outbound

This paper cites On spurious and real fluctuations of dynamic functional connectivity during rest.Neuroimage, 104:430–436, 2015.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity On spurious and real fluctuations of dynamic functional connectivity during rest.Neuroimage, 104:430–436, 2015

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.647147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e6b1ab4-794a-4092-b586-5d05e5379b99 · outbound

This paper cites Multi-site fmri analysis using privacy-preserving federated learning and domain adaptation: Abide results.Medical image analysis, 65:101765, 2020.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Multi-site fmri analysis using privacy-preserving federated learning and domain adaptation: Abide results.Medical image analysis, 65:101765, 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.258908Z

Source-reported events for the cited work

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Observation c036a4ef-6776-4e01-b951-5e848be4ca0c · outbound

This paper cites Braingnn: Interpretable brain graph neural network for fmri analysis.Medical image analysis, 74:102233, 2021.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Braingnn: Interpretable brain graph neural network for fmri analysis.Medical image analysis, 74:102233, 2021

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.262266Z

Source-reported events for the cited work

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Observation 722d8ee3-7954-46c2-b74f-2ab884f0a256 · outbound

This paper cites Patterns of brain dynamic functional connectivity are linked with attention-deficit/hyperactivity disorder-related behavioral and cognitive dimensions.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Patterns of brain dynamic functional connectivity are linked with attention-deficit/hyperactivity disorder-related behavioral and cognitive dimensions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.627304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22240249-ee8a-4312-991a-9729be6f9f3a · outbound

This paper cites Fedgst: Federated graph spatio-temporal framework for brain functional disease prediction.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Fedgst: Federated graph spatio-temporal framework for brain functional disease prediction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.618091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7bdad62-fd7a-4e7d-a19c-ab8036fa78fd · outbound

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

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Communication-efficient learning of deep networks from decentralized data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.272347Z

Source-reported events for the cited work

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Observation 39ad9779-ea97-4b19-bed5-1be809190003 · outbound

This paper cites Scanner invariant representations for diffusion mri harmonization.Magnetic resonance in medicine, 84(4):2174– 2189, 2020.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Scanner invariant representations for diffusion mri harmonization.Magnetic resonance in medicine, 84(4):2174– 2189, 2020

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.604293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16b88e21-bd49-44c2-a2c0-5405adb4c0c3 · outbound

This paper cites Transport on riemannian manifold for connectivity-based brain decoding.IEEE transactions on medical imaging, 35(1):208–216, 2015.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Transport on riemannian manifold for connectivity-based brain decoding.IEEE transactions on medical imaging, 35(1):208–216, 2015

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.594818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f576b66a-568f-4a08-98b1-cce30e7946ff · outbound

This paper cites Fedni: Federated graph learning with network inpainting for population-based disease prediction.IEEE Transactions on Medical Imaging, 42(7):2032–2043, 2022.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Fedni: Federated graph learning with network inpainting for population-based disease prediction.IEEE Transactions on Medical Imaging, 42(7):2032–2043, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.585526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 315dbbf2-3ce5-4601-b461-5bc76b49f64c · outbound

This paper cites Now Foundations and Trends, 2019.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Now Foundations and Trends, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.283385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b223c5e-2ac8-4eca-b226-2f3a4aa9afba · outbound

This paper cites Functional network organization of the human brain.Neuron, 72(4):665–678, 2011.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Functional network organization of the human brain.Neuron, 72(4):665–678, 2011

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.569730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c0b4882-6f46-45be-aed6-8209d1d3e6e8 · outbound

This paper cites Multi-institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Multi-institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.559781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation daeec1a6-cd67-4fca-b50c-556e5e065038 · outbound

This paper cites Modular brain networks.Annual review of psychology, 67(1):613–640, 2016.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Modular brain networks.Annual review of psychology, 67(1):613–640, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.550649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5072f1ab-a6d5-40c4-9abc-d5ef230204cb · outbound

This paper cites Personalized federated learning with moreau envelopes.Advances in neural information processing systems, 33:21394–21405, 2020.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Personalized federated learning with moreau envelopes.Advances in neural information processing systems, 33:21394–21405, 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1abe99b6-3234-4d94-bfb8-46f5f887aaf9 · outbound

This paper cites Unsupervised alignment in neuroscience: Introducing a toolbox for gromov–wasserstein optimal transport.Journal of Neuroscience Methods, 419:110443, 2025.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Unsupervised alignment in neuroscience: Introducing a toolbox for gromov–wasserstein optimal transport.Journal of Neuroscience Methods, 419:110443, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.533909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2f81887-74cc-4c39-ba57-0d4e60485592 · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Fedproto: Federated prototype learning across heterogeneous clients

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.299817Z

Source-reported events for the cited work

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Observation 2d717041-86fd-418f-adde-21bf17b8f8aa · outbound

This paper cites Some mathematical notes on three-mode factor analysis.Psychometrika, 31(3):279–311, 1966.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Some mathematical notes on three-mode factor analysis.Psychometrika, 31(3):279–311, 1966

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Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.302417Z

Source-reported events for the cited work

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Observation 76924750-b8f8-481c-9211-f827baf8a63f · outbound

This paper cites Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification.NeuroImage, 207:116398, 2020.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification.NeuroImage, 207:116398, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.514991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation def0ff6b-8421-4bc1-bc82-8817009ae24f · outbound

This paper cites Federated Evaluation of On-device Personalization.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Federated Evaluation of On-device Personalization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.307739Z

Source-reported events for the cited work

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Observation fbe0159c-810b-4abf-a17a-89f2759985fd · outbound

This paper cites Graph augmentation guided federated knowledge distillation for multisite functional mri analysis.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Graph augmentation guided federated knowledge distillation for multisite functional mri analysis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.506976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7712c358-1f0f-4305-803e-0778b4b9b0c1 · outbound

This paper cites Tensor Decomposition based Personalized Federated Learning.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Tensor Decomposition based Personalized Federated Learning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-10T05:16:37.379578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7cfbedc-331f-48cd-808c-8f3bf49bb485 · outbound

This paper cites Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion.NeuroImage, 274:120089, 2023.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion.NeuroImage, 274:120089, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.497481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f22230b1-c265-4245-90ed-bf26486d2e20 · outbound

This paper cites Eeg resting-state functional connectivity: evidence for an imbalance of external/internal information integration in autism.Journal of Neurodevelopmental Disorders, 14(1):47, 2022.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Eeg resting-state functional connectivity: evidence for an imbalance of external/internal information integration in autism.Journal of Neurodevelopmental Disorders, 14(1):47, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.488143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3c87b21-f03a-4ab6-a4c1-4fce4e7bdbb0 · outbound

This paper cites an unresolved cited work.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-10T05:16:37.478113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cdb2107e-0558-4196-8eff-074257c5071c · outbound

This paper cites Fedbrain: federated training of graph neu- ral networks for connectome-based brain imaging analysis.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Fedbrain: federated training of graph neu- ral networks for connectome-based brain imaging analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.469039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 157f9f70-ceae-43a0-97c7-2df556092e10 · outbound

This paper cites high-order.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity high-order

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.459039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77363c61-9294-4ec9-9534-2bf3c395baad · outbound

This paper cites Fedgmkd: An efficient prototype feder- ated learning framework through knowledge distillation and discrepancy-aware aggregation.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Fedgmkd: An efficient prototype feder- ated learning framework through knowledge distillation and discrepancy-aware aggregation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.450483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfedbd77-f667-4266-b0de-ae1e4d3628d7 · outbound

This paper cites Preserving specificity in federated graph learning for fmri-based neurological disorder identification.Neural Networks, 169:584–596, 2024.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Preserving specificity in federated graph learning for fmri-based neurological disorder identification.Neural Networks, 169:584–596, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.441620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2b33cb3-24e1-4968-81ee-d42c1f3f986c · outbound

This paper cites Cyclic coupled tucker decomposition of large fmri datasets.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Cyclic coupled tucker decomposition of large fmri datasets

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.431317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31859253-4123-43fb-83d1-685d365e43a4 · outbound

This paper cites Altered intra-and inter-network connectivity in autism spectrum disorder.Aging (Albany NY), 16(11):10004, 2024.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Altered intra-and inter-network connectivity in autism spectrum disorder.Aging (Albany NY), 16(11):10004, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.422506Z

Source-reported events for the cited work

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Observation fb1539f5-5193-4426-ac9a-7b0d074cde50 · outbound

This paper cites Dynamic functional connectivity changes of resting-state brain network in attention- deficit/hyperactivity disorder.Behavioural Brain Research, 437:114121, 2023.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Dynamic functional connectivity changes of resting-state brain network in attention- deficit/hyperactivity disorder.Behavioural Brain Research, 437:114121, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T05:16:37.413254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Reference resolution

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