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Found 3 papers, 2 papers with code
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning
To maximize the resource efficiency of inference servers, a key mechanism proposed in this paper is to exploit hardware support for spatial partitioning of GPU resources.
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.
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
In particular, for vision tasks, we can always achieve a 0% FRR and FAR.
Cryptography and Security
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