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cs.LG2023
Federated Learning via Input-Output Collaborative Distillation
Xuan Gong, Shanglin Li, Yuxiang Bao +6
Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data. Existi…
cs.CV2023★ 1 cited
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation
Yuxiang Bao, Di Qiu, Guoliang Kang +4
Leveraging the generative ability of image diffusion models offers great potential for zero-shot video-to-video translation. The key lies in how to maintain temporal consistency ac…