Supplementary Material for "FedDCG: A Federated Learning Algorithm Based on Dynamic Consensus Graph"

This record contains the supplementary material for the paper "FedDCG: A Federated Learning Algorithm Based on Dynamic Consensus Graph". The supplementary file provides additional technical details that support the main manuscript. The associated paper studies federated learning under dual-skewed non-IID data and proposes FedDCG, a dynamic-consensus-graph-based method that integrates consensus-based weighting and sample-size-aware aggregation.