Flow-Based Clustering and Spectral Clustering: A Comparison. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (ACSCC, 2021)

Federated Learning from Big Data Over Networks. - Yasmin Sarcheshmehpour; M. Leinonen; Alexander Jung (ICASSP, 2021)

Networked Federated Multi-Task Learning. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (CoRR, 2021)

Local Graph Clustering With Network Lasso. - Alexander Jung; Yasmin Sarcheshmehpour (IEEE Signal Process. Lett., 2021)

Towards Model-Agnostic Federated Learning over Networks. - Alexander Jung; S. Abdurakhmanova; Olga Kuznetsova; Yasmin Sarcheshmehpour (EUSIPCO, 2023)

Design of Induction Machines using Reinforcement Learning. - Yasmin Sarcheshmehpour; Tommi Ryyppo; Victor Mukherjee; Alex Jung (CoRR, 2023)

Clustered Federated Learning via Generalized Total Variation Minimization. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (IEEE Trans. Signal Process., 2023)

Personalized Federated Learning via Active Sampling. - Alexander Jung; Yasmin Sarcheshmehpour; Amirhossein Mohammadi (CoRR, 2024)