Enzo Zhang zifan wu haihui wang Ryan Anderson
By: Enzo Zhang Zifan Wu Haihui Wang, and Ryan Anderson
All attributes of each row data for Federated Machine Learning (ML) come from more than one edge provider. They must be combined as input of Federated ML model in AI Edge case. Each Each side has no ability on its own to hold all required data. Edge side has much pretty limitation for edge computing because of variety of conditions.all of the required data to function as designed. Specific edges (or edge sides) can be pretty limited in terms of edge computing capabilities for a variety of reasons/conditions
The application must cover edges more than one to collect and exchange edge while also collecting and exchanging data between edges. Meanwhile, a method must be applied to make sure the communication between these edges is secure enough for all participants to protect data.
Here are some examples of AI edge characters as following.application use cases to illustrate:
- Deploy more than one edge
- No more extra storage space
- A few computing units
- Deal with data locally
- Network ability
- Share data each othersother
- Work together with FML frameworkML
- Data security
Application groups Applications group data from edges base based on security encryption method. Data methods; but data privacy is still going to be managed by the Federated Machine Learning framework. Data, as an input of machine learning model was hold in all edges after exchange in secure way, then learning process execute. Federated Machine Learning model with required data was used in edge side for a ML model, is in a central site, and exchange of data occurs after ML processes are done. Required data gets sent back to the edge for its next process.
Many key components are required to make the case works work well and machine learning run successsuccessfully:.
- Data transfering transfer and groupinggroup
- Data collect and distribute
- Federated Machine Learning framework
- Secure Security encryption algorithm
Federated Machine Learning framework support AI Edge application to run in transparent way with high functionality.This functionality, integrated with the framework, can enable edge applications to run right correctly and securely.