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Found 3 papers, 3 papers with code
Deep Video Inpainting Guided by Audio-Visual Self-Supervision
To implement the prior knowledge, we first train the audio-visual network, which learns the correspondence between auditory and visual information.
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
For learning performance, which is specified by the model accuracy and convergence speed metrics, we empirically evaluate both FL and SplitNN under different types of data distributions such as imbalanced and non-independent and identically distributed (non-IID) data.
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
We observed that the 1D CNN model under split learning can achieve the same accuracy of 98. 9\% like the original (non-split) model.
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