1 citations · 1 across the 3 of their papers we have counts for
3 papers
Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs
David Peter Federl, Lukas Einhaus, Andreas Erbslöh +1
The deployment of embedded deep neural networks on resource-constrained field programmable gate arrays (FPGAs) is challenging due to limited memory and computational capacities. We…
Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems
Lukas Einhaus, Natalie Maman, Julian Hoever +2
1D-CNNs play a crucial role for time-series analysis on tiny smart sensor systems, e.g. for biosignal analysis, predictive maintenance, or structural health monitoring. LUTbased pr…
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs
Tianheng Ling, Chao Qian, Lukas Einhaus +1
This study explores the quantisation-aware training (QAT) on time series Transformer models. We propose a novel adaptive quantisation scheme that dynamically selects between symmet…