Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Human-Guided Data Augmentation via Diffusion Model for Surface Defect Recognition Under Limited Data
Abstract: Surface defect recognition (SDR) with limited data is a common challenge in industrial production. Recent methods generally utilize generative adversarial networks (GANs) to generate defect ...
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