FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios

Created by W.Langdon from gp-bibliography.bib Revision:1.8880

@InProceedings{Pacioni:2026:evoapplications,

• author = "Elia Pacioni and Celien Muller and Francisco {Fernandez De Vega} and Davide Calvaresi",
• title = "{FedGP} Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios",
• booktitle = "29th International Conference, EvoApplications 2026",
• year = "2026",
• publisher = "Springer",
• address = "Toulouse",
• month = "8-10 " # apr,
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, FedAVG, FedPROX, FedNOVA, PathMNIST, FashionMNIST",
• URL = "https://easychair.org/smart-program/evostar2026/2026-04-09.html#talk:306110",
• notes = "

  http://www.evostar.org/2026/ EvoApplications2026 held in conjunction with EuroGP'2026, EvoCOP2026 and EvoMusArt2026",

}

Genetic Programming entries for Elia Pacioni Celien Muller Francisco Fernandez de Vega Davide Calvaresi

Citations