Publications

A selected list. The complete and continuously updated record is on the Aalto research portal.

Books

• Federated Learning — From Theory to Practice
  A. Jung. Springer, 2026.
  flbook.aalto.fi · free draft PDF

• Machine Learning: The Basics
  A. Jung. Springer.
  mlbook.aalto.fi · free draft PDF

• Aalto Dictionary of Machine Learning
  A. Jung et al. Open-access multilingual glossary of machine learning terminology.
  dictionaryofml.aalto.fi

2025

• Graph-Regularized Learning of Gaussian Mixture Models
  S. Abdurakhmanova, A. Jung. Preprint.
  arXiv:2509.13855

2024

• Explainable Empirical Risk Minimization
  L. Zhang, G. Karakasidis, A. Odnoblyudova, L. Dogruel, Y. Tian, A. Jung.
  Neural Computing and Applications, vol. 36, no. 8, pp. 3983–3996.
  doi:10.1007/s00521-023-09269-3

• Your Data, My Model: Learning Who Really Helps in Federated Learning
  S. Abdurakhmanova, A. Mohammadi, Y. SarcheshmehPour, A. Jung. Preprint.
  arXiv:2409.02064

• Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
  D. Pfau, A. Jung. Preprint.
  arXiv:2410.19361

• CloudCast — Total Cloud Cover Nowcasting with Machine Learning
  M. Partio et al. Artificial Intelligence for the Earth Systems.
  doi:10.1175/AIES-D-24-0104.1

2023

• Clustered Federated Learning via Generalized Total Variation Minimization
  Y. SarcheshmehPour, Y. Tian, L. Zhang, A. Jung.
  IEEE Transactions on Signal Processing.
  doi:10.1109/TSP.2023.3322848

• Towards Model-Agnostic Federated Learning over Networks
  A. Jung, S. Abdurakhmanova, O. Kuznetsova, Y. SarcheshmehPour.
  31st European Signal Processing Conference (EUSIPCO), pp. 1614–1618.
  IEEE Xplore

2020

• On the Duality Between Network Flows and Network Lasso
  A. Jung. IEEE Signal Processing Letters.
  doi:10.1109/LSP.2020.2998400

• Networked Exponential Families for Big Data Over Networks
  A. Jung. IEEE Access.
  doi:10.1109/ACCESS.2020.3033817

• An Information-Theoretic Approach to Personalized Explainable Machine Learning
  A. Jung, P. H. J. Nardelli. IEEE Signal Processing Letters.
  doi:10.1109/LSP.2020.2993176

2019

• Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization
  A. Jung et al. IEEE Transactions on Signal Processing.
  doi:10.1109/TSP.2019.2953593

• Localized Linear Regression in Networked Data
  A. Jung, N. Tran. IEEE Signal Processing Letters.
  doi:10.1109/LSP.2019.2918933