Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
IEEE

FedCDC: Efficient Similarity Identification in Clustered Federated Learning via Community Detection on Non-IID Data

Abstract: federated learning (FL) enables decentralized devices to collaboratively train models without sharing raw data. However, when client data is highly heterogeneous, conventional FL often ...
IEEE

Adaptive Feature-Similarity Clustered for Federated Learning under Extreme Data Heterogeneity

Abstract: Federated learning (FL) struggles with performance degradation when client data is Non-Independent and Identically Distributed (Non-IID). While clustered FL offers a promising solution, ...