Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server

Fei Li, Chu Kiong Loo, Wei Shiung Liew +1

In federated learning, data heterogeneity significantly impacts performance. A typical solution involves segregating these parameters into shared and personalized components, a con…