Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Ashkan Pirmani 1 2 3 4;Edward De Brouwer 1;Ádám Arany 1;Martijn Oldenhof 1;Antoine Passemiers 1;Axel Faes 2 3 4;Tomas Kalincik 5;Serkan Ozakbas 6;Riadh Gouider 7;Barbara Willekens 8 9;Dana Horakova 10;Eva Kubala Havrdova 10;Francesco Patti 11;Alexandre Prat 12;Alessandra Lugaresi 13;Valentina Tomassini 14;Pierre Grammond 15;Elisabetta Cartechini 16;Izanne Roos 5;Cavit Boz 17;Raed Alroughani 18;Maria Pia Amato;Katherine Buzzard 21;Jeannette Lechner-Scott 22;Joana Guimarães 23 24;Claudio Solaro 25;Oliver Gerlach 26;Aysun Soysal 27;Jens Kuhle 28;Jose Luis Sanchez-Menoyo 29;Daniele Spitaleri 30;Tunde Csepany 31;Bart Van Wijmeersch 32;Radek Ampapa 33;Julie Prevost 34;Samia J Khoury 35;Vincent Van Pesch 36;Nevin John 37;Davide Maimone 38;Bianca Weinstock-Guttman 39;Guy Laureys 40;Pamela McCombe 41;Yolanda Blanco 42;Ayse Altintas 43;Abdullah Al-Asmi 44;Justin Garber 45;Anneke Van der Walt 46;Helmut Butzkueven 46;Koen de Gans 47;Csilla Rozsa 48;Bruce Taylor 49;Talal Al-Harbi 50;Attila Sas 51;Cecilia Rajda 52;Orla Gray 53;Danny Decoo 54;William M Carroll 55;Allan G Kermode 56;Marzena Fabis-Pedrini 57;Deborah Mason 58;Angel Perez-Sempere 59;Mihaela Simu 60;Neil Shuey 61;Bhim Singhal 62;Marija Cauchi 63;Todd A Hardy 64;Sudarshini Ramanathan 65;Patrice Lalive 66;Carmen-Adella Sirbu 67;Stella Hughes 68;Tamara Castillo Trivino 69;Liesbet M Peeters 2 3 4;Yves Moreau 70

2025

Abstract