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Found 5 papers, 1 papers with code
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Such fragmentation introduces a new type of data heterogeneity in FL, namely \textit{system-induced data heterogeneity}, as each device generates distinct data depending on its hardware and software configurations.
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
However, we need a limited knowledge of the observed environment at inference time which can be learned using a shallow neural network (SHNN).
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA
On the other hand, for a large chunk of recognition challenges, a system can classify images correctly using simple models or so-called shallow networks.
Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining
Results: The text mining methods explored high-frequency neurologic DsSs and their trends and the relationships between them from 1955 to 2017.
CryptoDL: Deep Neural Networks over Encrypted Data
Then, we train convolutional neural networks with the approximation polynomials instead of original activation functions and analyze the performance of the models.
Optical Character Recognition
Optical Character Recognition (OCR)
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