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Found 8 papers, 1 papers with code
Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility
However, digital DFRs emulate analog nonlinear components in the digital domain, resulting in a lack of design flexibility and higher power consumption.
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression
Outlier detection of semiconductor devices is important since manufacturing variation is inherently inevitable.
Accelerating Parameter Extraction of Power MOSFET Models Using Automatic Differentiation
The extraction of the model parameters is as important as the development of compact model itself because simulation accuracy is fully determined by the accuracy of the parameters used.
Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE
Our experiments show that both the pipelined architecture and the CMUX Memory technique are effective in improving the performance of the proposed processor.
Cryptography and Security
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning
In this work, we find out that averaging models from different clients significantly diminishes the norm of the update vectors, resulting in slow learning rate and low prediction accuracy.
BUNET: Blind Medical Image Segmentation Based on Secure UNET
The strict security requirements placed on medical records by various privacy regulations become major obstacles in the age of big data.
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
In this work, we propose ENSEI, a secure inference (SI) framework based on the frequency-domain secure convolution (FDSC) protocol for the efficient execution of privacy-preserving visual recognition.
NASS: Optimizing Secure Inference via Neural Architecture Search
Due to increasing privacy concerns, neural network (NN) based secure inference (SI) schemes that simultaneously hide the client inputs and server models attract major research interests.
