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Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Vertical Federated Learning (VFL) is an emergent distributed machine learning paradigm wherein owners of disjoint features of a common set of entities collaborate to learn a global model without sharing data.
[Re] CLRNet: Cross Layer Refinement Network for Lane Detection
The following work is a reproducibility report for CLRNet: Cross Layer Refinement Network for Lane Detection.
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