Toward a generic federated learning platform optimized for computer vision applications

W Zhuang - 2022 - dr.ntu.edu.sg
As a result of advances in deep learning, computer vision has transformed many industries
with a wide range of applications. The majority of these applications heavily rely on …

[PDF][PDF] Internet of things

SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay… - 2019 - iamssgill.wordpress.com
abstract Cloud computing plays a critical role in modern society and enables a range of
applications from infrastructure to social media. Such system must cope with varying load …

Improve image classification by convolutional network on Cambricon

P He, G Chen, K Deng, P Yao, L Fu - … , Denver, CO, USA, November 14–16 …, 2020 - Springer
Cambricon provides us with a complete intelligent application system, how to use this
system for deep learning algorithms development is a challenging issue. In this paper, we …

Device and method for monitoring a system

SE Sidener, CL Worrell, WB Sintic - US Patent 11,900,223, 2024 - Google Patents
A portable real-time system monitoring device is advantageously capable of autonomously
learning the normal behavior of any system and of alerting the user or taking other action …

Bosch Deep Learning Hardware Benchmark

A Runge, T Wenzel, D Bariamis, BS Staffler… - arXiv preprint arXiv …, 2020 - arxiv.org
The widespread use of Deep Learning (DL) applications in science and industry has created
a large demand for efficient inference systems. This has resulted in a rapid increase of …

[PDF][PDF] A Flexible, Application-focused Benchmarking Suite for Edge Infrastructures

S Bäurle - nitindermohan.com
Edge computing is a vibrant research field, where applications previously hosted in the
cloud shift parts of their workload towards the network's edge. This promises decreased …