Figure 3.

The comparison of traditional AI server architecture and federated learning server architecture. (a) In traditional server architecture, the main server processes all the raw data at the same site, leading to concerns about privacy; (b) In federated learning, the datasets are processed at each individual site and only the trained models are shared with the main server. Privacy of each dataset is protected.