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pro vyhledávání: '"Han, Woorim"'
Vertical Federated Learning (VFL) focuses on handling vertically partitioned data over FL participants. Recent studies have discovered a significant vulnerability in VFL to backdoor attacks which specifically target the distinct characteristics of VF
Externí odkaz:
http://arxiv.org/abs/2408.15591
With growing popularity, deep learning (DL) models are becoming larger-scale, and only the companies with vast training datasets and immense computing power can manage their business serving such large models. Most of those DL models are proprietary
Externí odkaz:
http://arxiv.org/abs/2403.02870
Federated Learning (FL) thrives in training a global model with numerous clients by only sharing the parameters of their local models trained with their private training datasets. Therefore, without revealing the private dataset, the clients can obta
Externí odkaz:
http://arxiv.org/abs/2403.02846