7 citations · 8 across the 3 of their papers we have counts for
4 papers
Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)
Ziheng Wang, Pedro Reviriego, Farzad Niknia +4
Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT).…
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things
Ziheng Wang, Pedro Reviriego, Farzad Niknia +3
The implementation of machine learning in Internet of Things devices poses significant operational challenges due to limited energy and computation resources. In recent years, sign…
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems
Pedro Reviriego, Ziheng Wang, Alvaro Alonso +4
The complexity of Machine Learning (ML) systems increases each year, with current implementations of large language models or text-to-image generators having billions of parameters…
Learning Assisted Side Channel Delay Test for Detection of Recycled ICs
Ashkan Vakil, Farzad Niknia, Ali Mirzaeian +2
With the outsourcing of design flow, ensuring the security and trustworthiness of integrated circuits has become more challenging. Among the security threats, IC counterfeiting and…