FedGP goes open source: reproducible evolutionary aggregation for federated learning with FASTER

Created by W.Langdon from gp-bibliography.bib Revision:1.9244

@Article{Pacioni:2026:GPEM,

• author = "Elia Pacioni and Valerio Crocetti and Francisco {Fernandez de Vega} and Davide Calvaresi",
• title = "{FedGP} goes open source: reproducible evolutionary aggregation for federated learning with {FASTER}",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2026",
• volume = "27",
• pages = "Article no 23",
• keywords = "genetic algorithms, genetic programming, GPU, Federated learning, FedGP, FASTER, Aggregation methods, FedAvg, weighted FedAvg, FedProx, FedNova, nonIID",
• ISSN = "1389-2576",
• DOI = "10.1007/s10710-026-09548-7",
• code_url = "https://github.com/HISTLab-hevs/FASTER",
• data_url = "https://github.com/zalandoresearch/fashion-mnist",
• data_url = "https://medmnist.com/",
• data_url = "https://www.cs.toronto.edu/%7ekriz/cifar.html",
• size = "13 pages",

}

Genetic Programming entries for Elia Pacioni Valerio Crocetti Francisco Fernandez de Vega Davide Calvaresi

Citations