4 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Juliano S. Assine, J. C. S. Santos Filho, Eduardo Valle +1
The execution of large deep neural networks (DNN) at mobile edge devices requires considerable consumption of critical resources, such as energy, while imposing demands on hardware…
cs.CV2021★ 4 cited
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
Juliano S. Assine, J. C. S. Santos Filho, Eduardo Valle
In the past few years, mobile deep-learning deployment progressed by leaps and bounds, but solutions still struggle to accommodate its severe and fluctuating operational restrictio…