Abstract: Multi-class semantic segmentation remains a corner-stone challenge in computer vision. Yet, dataset creation remains excessively demanding in time and effort, especially for specialized ...
Abstract: Decentralized federated learning (DFL) has gained popularity due to its practicality across various applications. Compared to the centralized version, training a shared model among a large ...
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