Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments. - Mohammad Bakhtiari; Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Amirhossein Bayat; David B. Blumenthal; Markus List; Jan Baumbach (CoRR, 2020)

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. - Julian O. Matschinske; Julian Späth; Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Anne Hartebrodt; Balázs Orbán; Sándor Fejér; Olga I. Zolotareva; Mohammad Bakhtiari; Béla Bihari; Marcus D. Bloice; Nina C. Donner; et al. (CoRR, 2021)

Optimum Configuration of Edge Computing Protocols for Industrial Internet-of-Thing Applications. - Mohammad Bakhtiari; Yang Wei 001; Hiroaki Nishi; Kim Fung Tsang; Nasser A. Aljuhaishi; Mahmoud A. Alahmad (IECON, 2022)

Federated machine learning in data-protection-compliant research. - Alissa Brauneck; Louisa Schmalhorst; Mohammad Mahdi Kazemi Majdabadi; Mohammad Bakhtiari; Uwe Völker; Christina Caroline Saak; Jan Baumbach; Linda Baumbach; Gabriele Buchholtz (Nat. Mac. Intell., 2023)

Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt. - Yuliya Burankova; Miriam Abele; Mohammad Bakhtiari; Christine von Törne; Teresa Barth; Lisa Schweizer; Pieter Giesbertz; Johannes R. Schmidt; Stefan Kalkhof; Janina Müller-Deile; Peter A. van Veelen; Yassene Mohammed; et al. (CoRR, 2024)

Personalized Prediction Models for Changes in Knee Pain among Patients with Osteoarthritis Participating in Supervised Exercise and Education. - Mahdie Rafiei; Supratim Das; Mohammad Bakhtiari; Ewa M. Roos; Søren T. Skou; Dorte T. Grønne; Jan Baumbach; Linda Baumbach (CoRR, 2024)