VFedSec: Efficient Secure Aggregation For Vertical Federated Learning Via Secure Layer | DeepAI
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Efficient Vertical Federated Learning With Secure Aggregation | DeepAI
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Efficient Secure Aggregation For Privacy-Preserving Federated Machine Learning | DeepAI
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FSSA: Efficient 3-Round Secure Aggregation For Privacy-Preserving Federated Learning | DeepAI
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Efficient Secure Aggregation for Federated Learning
Efficient Secure Aggregation for Federated Learning
Related image with vfedsec efficient secure aggregation for vertical federated learning via secure layer deepai
 has emerged as a paradigm for collaborative model estimation across multiple clients%2C each holding a distinct set of covariates. This paper introduces the first comprehensive framework for fitting Bayesian models in the VFL setting. We propose a novel approach that leverages data augmentation techniques to transform VFL problems into a form compatible with existing Bayesian federated learning algorithms. We present an innovative model formulation for specific VFL scenarios where the joint likelihood factorizes into a product of client-specific likelihoods. To mitigate the dimensionality challenge posed by data augmentation%2C which scales with the number of observations and clients%2C we develop a factorized amortized variational approximation that achieves scalability independent of the number of observations. We showcase the efficacy of our framework through extensive numerical experiments on logistic regression%2C multilevel regression%2C and a novel hierarchical Bayesian split neural net model. Our work paves the way for privacy-preserving%2C decentralized Bayesian inference in vertically partitioned data scenarios%2C opening up new avenues for research and applications in various domains.?resize=91,91 "Scalable Vertical Federated Learning Via Data Augmentation And Amortized Inference | AI Research ...")
![Secure Aggregation Of Private Federated Learning [1]. | Download Scientific Diagram](https://i0.wp.com/www.researchgate.net/profile/Hafiz-Asif-5/publication/363274473/figure/fig1/AS:11431281083051375@1662389899887/Secure-Aggregation-of-Private-Federated-Learning-1_Q320.jpg?resize=91,91 "Secure Aggregation Of Private Federated Learning [1]. | Download Scientific Diagram")
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![[6B] SoK: Secure Aggregation based on cryptographic schemes for Federated Learning](https://i0.wp.com/ytimg.googleusercontent.com/vi/X996hgmTlV4/mqdefault.jpg?resize=91,91 "[6B] SoK: Secure Aggregation based on cryptographic schemes for Federated Learning")
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