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

Year: 2026

Type: supplementary-materials

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19229298

Authors: Xu, Yi, Lu, Zhouliang, Liu, Xiao, Luo, Haoyu, Hu, Yushuo, Xie, Yitong

Institutions: Anhui University, Deakin University, South China Agricultural University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7140723913

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