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 ...
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
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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