Comparison of federated learning and some related word
Federated Machine Learning: Concept and Applications
Federated learning is an AI technology which train the model with privacy protection. It won't send the data to the central server in order to prevent leakage of user data.
Federated Learning vs Distributed Machine Learning
Distributed machine learning is main to accelerate the training. Parameter server, which is typical element of distributed machine learning, is a tool to train model with more efficiency.
Federated Learning vs Edge Computing
Federated learning is an operating system of edge computing, but federated learning provide secure protocol for coordination.
Federated Learning vs Federated Database Systems
Federated database systems is a system to integrate multiple database unit, which can be heterogeneous, and manage them. However, it does not include the privacy protection mechanism.
Federated Database system focus on the data inserting, deleting, searching, merging.
