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Fact: Federated Adversarial Cross Training

https://doi.org/10.2139/ssrn.5131771
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inferredcites →https://doi.org/10.1007/978-3-030-58598-3_43openalex-snapshot
Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_36openalex-snapshot
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_35openalex-snapshot
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_16openalex-snapshot
Adapting Visual Category Models to New Domains
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
inferredcites →https://doi.org/10.1016/j.media.2020.101765openalex-snapshot
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
inferredcites →https://doi.org/10.1109/cvpr.2012.6247911openalex-snapshot
Geodesic flow kernel for unsupervised domain adaptation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00392openalex-snapshot
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2019.01155openalex-snapshot
Characterizing and Avoiding Negative Transfer
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00966openalex-snapshot
Model Adaptation: Unsupervised Domain Adaptation Without Source Data
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00107openalex-snapshot
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00127openalex-snapshot
Source-Free Domain Adaptation for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00245openalex-snapshot
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00997openalex-snapshot
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01638openalex-snapshot
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00149openalex-snapshot
Moment Matching for Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv.2019.01004openalex-snapshot
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00888openalex-snapshot
Adaptive Adversarial Network for Source-free Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00899openalex-snapshot
CDS: Cross-Domain Self-supervised Pre-training
inferredcites →https://doi.org/10.1109/mis.2020.2988525openalex-snapshot
A Secure Federated Transfer Learning Framework
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/tip.2019.2963389openalex-snapshot
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
inferredcites →https://doi.org/10.1109/tip.2022.3152052openalex-snapshot
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
inferredcites →https://doi.org/10.1109/tnnls.2022.3223144openalex-snapshot
Gradient Matching Federated Domain Adaptation for Brain Image Classification
inferredcites →https://doi.org/10.1109/wacv48630.2021.00066openalex-snapshot
Domain Impression: A Source Data Free Domain Adaptation Method
inferredcites →https://doi.org/10.1109/wacv51458.2022.00115openalex-snapshot
Federated Multi-Target Domain Adaptation
inferredcites →https://doi.org/10.1109/wacv56688.2023.00052openalex-snapshot
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1609/aaai.v34i07.6997openalex-snapshot
Multi-Source Distilling Domain Adaptation
inferredcites →https://doi.org/10.36227/techrxiv.19575760openalex-snapshot
Feature Distribution Matching for Federated Domain Generalization
inferredcites →https://doi.org/10.36227/techrxiv.19575760.v2openalex-snapshot
Feature Distribution Matching for Federated Domain Generalization
inferredcites →https://doi.org/10.48550/arxiv.1409.7495openalex-snapshot
Unsupervised Domain Adaptation by Backpropagation
inferredcites →https://doi.org/10.48550/arxiv.1412.3474openalex-snapshot
Deep Domain Confusion: Maximizing for Domain Invariance
inferredcites →https://doi.org/10.48550/arxiv.1511.03575openalex-snapshot
Federated Optimization:Distributed Optimization Beyond the Datacenter
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1610.02527openalex-snapshot
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
inferredcites →https://doi.org/10.48550/arxiv.1705.10667openalex-snapshot
Conditional Adversarial Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1806.00582openalex-snapshot
Federated Learning with Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.1809.01361openalex-snapshot
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
inferredcites →https://doi.org/10.48550/arxiv.1909.06335openalex-snapshot
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
inferredcites →https://doi.org/10.48550/arxiv.1911.02054openalex-snapshot
Federated Adversarial Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2002.08546openalex-snapshot
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.2111.10487openalex-snapshot
Federated Learning with Domain Generalization
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