First International Workshop on Federated Learning for Computer Vision (FedVision)

Submission Timeline

Submission Deadline: March 9, 2022 March 17, 2022 (11:59 PM, PST)

Notification: March 27, 2022 March 31, 2022 (11:59 PM, PST)

Camera-Ready: April 5, 2022 April 8, 2022 (11:59 PM, PST)

Accepted papers will be published in conjunction with CVPR 2022 proceedings. Paper submissions will adhere to the CVPR 2022 paper submission style, format, and length restrictions. The CVPR 2022 author kit is avalible here.

Enter the paper submission website: here

Topics

Main research topics of relevance to this workshop include, but are not limited to:

  • Novel FL models for computer vision tasks, e.g., scene understanding, face recognition, object detection, person re-identification, image segmentation, human action recognition, medical image processing, etc.

  • Privacy-preserving machine learning for computer vision tasks

  • Personalized FL models for computer vision applications

  • Novel computer vision applications of FL and privacy-preserving machine learning

  • FL frameworks and tools designed for computer vision applications and benchmarking

  • Novel vision datasets for FL

  • Optimization algorithms for FL, particularly algorithms tolerant of data heterogeneity and resource heterogeneity.

  • Approaches that scale FL to larger models, including model pruning and gradient compression techniques

  • Label efficient learning in FL, e.g., self-supervised learning, semi-supervised learning, active learning, etc.

  • Neural architecture search (NAS) for FL

  • Life-long learning in FL

  • Attacks on FL including model poisoning, data poisoning, and corresponding defenses

  • Fairness in FL

  • Federated domain adaptation

  • Privacy leakage and defense in the FL environments

  • Privacy-preserving generative models for CV

  • FL based CV pipeline for scene understanding and visual analytics