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Found 4 papers, 1 papers with code
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems
Finally, we propose and optimize a novel parameter split-ratio, which indicates the proportion of the data required to be offloaded to another device while considering the networking bandwidth, busy factor, memory (CPU, GPU, RAM), and power constraints of the devices in the testbed.
A Systematic Study on Object Recognition Using Millimeter-wave Radar
Image and video data are light and weather-dependent, susceptible to the occlusion effect, and present privacy problems.
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning
We empirically proved the validity of our method with three benchmark datasets and found a minimal accuracy drop in the global model after applying quantization.
Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge
In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications.
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