home All News open_in_new Full Article

Federated learning AI developed for hospitals and banks without personal information sharing

Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each institution optimizes the collaboratively trained AI to suit its own environment, a limitation arose: The AI became overly adapted to the specific institution's data, making it vulnerable to new data.


today 3 h. ago attach_file Politics

attach_file Events
attach_file Politics
attach_file Science
attach_file Politics
attach_file Politics
attach_file Politics
attach_file Events
attach_file Politics
attach_file Politics
attach_file Events
attach_file Politics
attach_file Politics
attach_file Events
attach_file Politics
attach_file Politics
attach_file Technology
attach_file Politics
attach_file Politics
attach_file Politics
attach_file Politics


ID: 2170112280
Add Watch Country

arrow_drop_down