Review on Aggregation Frameworks For High-Performance Federated Learning
Federated Learning (FL) enables collaborative model training across distributed clients while keeping their original data within local environments, thereby reducing the need for centralized data collection. Despite this advantage, the effectiveness of FL strongly depends on model aggregation, which determines how loca...