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
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