Add to ORKGAn Internet-of-Things (IoT) platform that enables the retraining of machine learning models on embedded devices is described. The IoT platform utilizes transfer learning to retrain models in a cluster of IoT products connected to each-other in a local-area network (LAN), personal-area network (PAN), or wireless personal-area network (WPAN), to be reused for a similar purpose. Unlike current IoT platforms, the distributed transfer learning IoT platform does not need to utilize a centralized computing system, such as a cloud-computing server or a network server to perform model training, but rather execute this training in the cluster of IoT products. To reach this goal, in addition to transfer learning, the described IoT platform supports...
Existing edge computing architectures do not support the updating of neural network models, nor are ...
Federated learning (FL) is emerging as a new paradigm to train machine learning (ML) models in distr...
This work was sponsored by funds from Rakuten Mobile, Japan. The last author was also supported by a...
Internet of Things (IoT) edge devices have small amounts of memory and limited computational power. ...
“The ability to connect, communicate with, and remotely manage an incalculable number of networked, ...
With the increasing ubiquity of edge devices, such as the Internet of Things (IoT) and mobile device...
Techniques are described that combine machine learning with an edge network that includes IoT device...
A machine learning system is described that enables an embedded and/or low-power device to locally t...
Machine learning is one of the emerging technologies that has grabbed the attention of academicians ...
Smart devices continue to proliferate as the Internet-of-Things expands. Collectively, Internet-of-...
Machine Learning is an application of computers and mathematical algorithms adopted by means of lear...
In this thesis, we develop a scalable distributed approach for object detection model training and i...
The Internet of Things (IoT) is utilizing Deep Learning (DL) for applications such as voice or image...
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock ...
The fast and wide spread of Internet of Things (IoT) applications offers new opportunities in multip...
Existing edge computing architectures do not support the updating of neural network models, nor are ...
Federated learning (FL) is emerging as a new paradigm to train machine learning (ML) models in distr...
This work was sponsored by funds from Rakuten Mobile, Japan. The last author was also supported by a...
Internet of Things (IoT) edge devices have small amounts of memory and limited computational power. ...
“The ability to connect, communicate with, and remotely manage an incalculable number of networked, ...
With the increasing ubiquity of edge devices, such as the Internet of Things (IoT) and mobile device...
Techniques are described that combine machine learning with an edge network that includes IoT device...
A machine learning system is described that enables an embedded and/or low-power device to locally t...
Machine learning is one of the emerging technologies that has grabbed the attention of academicians ...
Smart devices continue to proliferate as the Internet-of-Things expands. Collectively, Internet-of-...
Machine Learning is an application of computers and mathematical algorithms adopted by means of lear...
In this thesis, we develop a scalable distributed approach for object detection model training and i...
The Internet of Things (IoT) is utilizing Deep Learning (DL) for applications such as voice or image...
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock ...
The fast and wide spread of Internet of Things (IoT) applications offers new opportunities in multip...
Existing edge computing architectures do not support the updating of neural network models, nor are ...
Federated learning (FL) is emerging as a new paradigm to train machine learning (ML) models in distr...
This work was sponsored by funds from Rakuten Mobile, Japan. The last author was also supported by a...