It is a symmetric-key algorithm for encrypting digital data. Developed in the 1970s, it was influential in cryptography.
Local training: Models are rained on individual devices.
Model updates: Updates are shared with a central server.
Global model: A global model is created from the updates.
Improved privacy
Enhanced security
Reduced data transfer
Increased efficiency
Healthcare
IoT
Finance
Mobile apps
Data heterogeneity
Communication overhead
Model convergence
Advancements in privacy-preserving techniques and distributed computing will drive its adoption.
Revolutionize your AI applications while protecting data privacy.