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About this workshop

Federated Learning (FL) has become an important privacy-preserving paradigm in various machine learning tasks. However, the potential of FL in computer vision applications, such as face recognition, person re-identification, and action recognition, is far from being fully exploited. Moreover, FL has rarely been demonstrated effectively in advanced computer vision tasks such as object detection and image segmentation, compared to the traditional centralized training paradigm. This workshop aims at bringing together researchers and practitioners with common interests in FL for computer vision and studying the different synergistic relations in this interdisciplinary area. The day-long event will facilitate interaction among students, scholars, and industry professionals from around the world to discuss future research challenges and opportunities.


Important Dates

Submission Deadline: March 09, 2023 (11:59 PM, PST)
Notification: March 27, 2023 (11:59 PM, PST)
Camera-Ready: April 5, 2023 (11:59 PM, PST)

Paper Submission

Accepted papers will be published in conjunction with CVPR 2023 proceedings.
Paper submissions will adhere to the CVPR 2023 paper submission style, format, and length restrictions.
The CVPR 2023 author kit is available here.
Paper submission website.
For any questions, please contact Dr. Chen Chen.


News

  • Now accepting submissions!
  • CFP and important dates updated!
  • FedVision has been accepted by CVPR 2023!

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