Abstract
Fog platform brings the computing power from the remote cloud-side closer to the edge devices to reduce latency, as the unprecedented generation of data causes ineligible latency to process the data in a centralized fashion at the Cloud. In this new setting, edge devices with distributed computing capability, such as sensors, surveillance camera, can communicate with fog nodes with less latency. Furthermore, local computing (at edge side) may improve privacy and trust. In this paper, we present a new method, in which, we decompose the data processing, by dividing them between edge devices and fog nodes, intelligently. We apply active learning on edge devices; and federated learning on the fog node which significantly reduces the data samples to train the model as well as the communication cost. To show the effectiveness of the proposed method, we implemented and evaluated its performance on a benchmark images data set.
Original language | English |
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Title of host publication | Proceedings of 6th IEEE International Conference on Cyber Security and Cloud Computing and 5th IEEE International Conference on Edge Computing and Scalable Cloud |
Editors | Meikang Qiu |
Publisher | IEEE |
Publication date | 1 Jun 2019 |
Pages | 221-226 |
Article number | 8854053 |
ISBN (Electronic) | 9781728116600 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
Event | 6th IEEE International Conference on Cyber Security and Cloud Computing and 5th IEEE International Conference on Edge Computing and Scalable Cloud - Paris, France Duration: 21 Jun 2019 → 23 Jun 2019 https://ieeexplore.ieee.org/xpl/conhome/8848672/proceeding |
Conference
Conference | 6th IEEE International Conference on Cyber Security and Cloud Computing and 5th IEEE International Conference on Edge Computing and Scalable Cloud |
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Country/Territory | France |
City | Paris |
Period | 21/06/2019 → 23/06/2019 |
Sponsor | IEEE, Columbia University |
Internet address |
Keywords
- Active Learning
- Bayesian Neural Network
- Edge Computing
- Federated Learning
- Fog Computing