Mattias Åkesson

According to our database, Mattias Åkesson authored at least 4 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Research to Reality: Feasibility of Gradient Inversion Attacks in Federated Learning.

Viktor Valadi, Mattias Åkesson, Johan Östman, Salman Toor, Andreas Hellander

CoRR, August, 2025

2022

Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation.

Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Scalable federated machine learning with FEDn.

Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Scalable federated machine learning with FEDn.

Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander

CoRR, 2021