Abstract: Split Federated Learning (SFL) improves scalability of Split Learning (SL) by enabling parallel computing of the learning tasks on multiple clients. However, state-of-the-art SFL schemes ...
Abstract: This paper provides a thorough review of deep learning techniques in image and video analysis, focusing on multi-object tracking, convolution and recurrent neural networks, image matting, ...
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