awesome-vertical-federated-learning
github.com/ngc436/awesome-vertical-federated-learning ↗A curated list of advancements in Vertical Federated Learning, frameworks and libraries.
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Publications in Top-tier Conferences (or influential)VFL Datasets (or datasets that are used in benchmarks)
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Publications in Top-tier Conferences (or influential)
- A Unified Solution for Privacy and Communication Efficiency in Vertical Federated LearningVFL privacy
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- Differentially Private Vertical Federated ClusteringVFL privacy
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- Fair and Efficient Contribution Valuation for Vertical Federated LearningVFL metrics / feature importance estimation
Clients' contribution valuation metric - vertical federated Shapley value (VerFedSV)
- Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected RecommendationVFL privacy
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- Robust Vertical Federated Learning against Poisoning AttacksVFL privacy
Proposes a gradient masking technique to mitigate model inversion attacks and poisoning attacks.
VFL Datasets (or datasets that are used in benchmarks)
- Centralized
CIFAR100
- Centralized
Avazu
- Centralized
MNIST
- Centralized
CIFAR10
- Centralized
Breast Cancer
- Centralized
Pima Indians Diabetes
Showing a sample of 24 resources. View the full list on GitHub →