
Decoupled Vertical Federated Learning (DVFL) introduces a fault-tolerant and secure approach to training on vertically partitioned data, offering redundancy, security, and fault handling while maintaining performance comparable to standard VFL.


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decoupled-vertical-federated-learning-fault-tolerant-and-secure-training-on-vertically-partitioned-data


Decoupled Vertical Federated Learning: Fault-Tolerant and Secure Training on Vertically Partitioned Data


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Decoupled VFL proposes a fault-tolerant and secure approach to vertically partitioned data training, ensuring privacy and graceful degradation under faults.


decoupled-vertical-federated-learning-fault-tolerant-and-secure-approach


Decoupled Vertical Federated Learning: Fault Tolerant and Secure Approach



Decoupled Vertical Federated Learning (DVFL) offers fault tolerance and privacy in training, outperforming traditional methods.


decoupled-vertical-federated-learning-fault-tolerance-and-privacy-in-training


Decoupled Vertical Federated Learning: Fault Tolerance and Privacy in Training
