{"total":36,"rows":[{"id":"2211.12814","title":"Vertical Federated Learning: Concepts, Advances and Challenges","created":"2022-11-23","cited_by_count":108,"area":null},{"id":"2112.10775","title":"HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images","created":"2021-12-20","cited_by_count":64,"area":null},{"id":"2210.01986","title":"MAtt: A Manifold Attention Network for EEG Decoding","created":"2022-10-05","cited_by_count":44,"area":null},{"id":"2210.04505","title":"A Survey on Heterogeneous Federated Learning","created":"2022-10-10","cited_by_count":42,"area":null},{"id":"2307.09182","title":"Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey","created":"2023-07-18","cited_by_count":40,"area":null},{"id":"2211.07893","title":"Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges","created":"2022-11-15","cited_by_count":34,"area":null},{"id":"2205.01840","title":"FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation","created":"2022-05-04","cited_by_count":23,"area":null},{"id":"2204.08467","title":"IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation","created":"2022-04-16","cited_by_count":22,"area":null},{"id":"2110.00603","title":"Algorithm Fairness in AI for Medicine and Healthcare","created":"2021-10-01","cited_by_count":21,"area":null},{"id":"2202.02472","title":"Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification","created":"2022-02-05","cited_by_count":21,"area":null},{"id":"2211.02641","title":"Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis","created":"2022-10-25","cited_by_count":15,"area":null},{"id":"2201.11613","title":"Domain-Invariant Representation Learning from EEG with Private Encoders","created":"2022-01-27","cited_by_count":12,"area":null},{"id":"2412.01079","title":"Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces","created":"2024-12-02","cited_by_count":7,"area":null},{"id":"2201.05745","title":"Deep Optimal Transport for Domain Adaptation on SPD Manifolds","created":"2022-01-15","cited_by_count":6,"area":null},{"id":"2306.13109","title":"EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks","created":"2023-06-20","cited_by_count":6,"area":null},{"id":"2308.11636","title":"Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning","created":"2023-08-14","cited_by_count":6,"area":null},{"id":"2504.18882","title":"SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges","created":"2025-04-26","cited_by_count":6,"area":null},{"id":"2403.05645","title":"Geometric Neural Network based on Phase Space for BCI-EEG decoding","created":"2024-03-08","cited_by_count":5,"area":null},{"id":"2406.20088","title":"Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints","created":"2024-06-28","cited_by_count":5,"area":null},{"id":"2305.00738","title":"FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring","created":"2023-05-01","cited_by_count":4,"area":null},{"id":"2209.03137","title":"Federated Transfer Learning with Multimodal Data","created":"2022-09-05","cited_by_count":3,"area":null},{"id":"2209.05395","title":"Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning","created":"2022-09-12","cited_by_count":2,"area":null},{"id":"2504.10296","title":"Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2601.05789","title":"SAFE: Secure and Accurate Federated Learning for Privacy-Preserving Brain-Computer Interfaces","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2312.10237","title":"A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease","created":"2023-12-15","cited_by_count":1,"area":null},{"id":"2405.09014","title":"Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2407.04302","title":"Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions","created":"2024-07-05","cited_by_count":1,"area":null},{"id":"2507.06779","title":"Tailoring deep learning for real-time brain-computer interfaces: From offline models to calibration-free online decoding","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2211.10976","title":"Federated deep transfer learning for EEG decoding using multiple BCI tasks","created":"2022-11-20","cited_by_count":0,"area":null},{"id":"2212.11729","title":"Federated Learning -- Methods, Applications and beyond","created":"2022-12-22","cited_by_count":0,"area":null},{"id":"2407.06485","title":"CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community","created":"2024-07-09","cited_by_count":0,"area":null},{"id":"2407.11652","title":"CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging","created":"2024-07-16","cited_by_count":0,"area":null},{"id":"2407.12446","title":"Non-parametric regularization for class imbalance federated medical image classification","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2506.16168","title":"On using AI for EEG-based BCI applications: problems, current challenges and future trends","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2605.11386","title":"Revisiting Privacy Preservation in Brain-Computer Interfaces: Conceptual Boundaries, Risk Pathways, and a Protection-Strength Grading Framework","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2609.09786","title":"NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}