Yasmin Sarcheshmehpour

According to our database, Yasmin Sarcheshmehpour authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Personalized Federated Learning via Active Sampling.

Alexander Jung, Yasmin Sarcheshmehpour, Amirhossein Mohammadi

CoRR, 2024

2023

Clustered Federated Learning via Generalized Total Variation Minimization.

Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung

IEEE Trans. Signal Process., 2023

Design of Induction Machines using Reinforcement Learning.

Yasmin Sarcheshmehpour, Tommi Ryyppo, Victor Mukherjee, Alex Jung

CoRR, 2023

Towards Model-Agnostic Federated Learning over Networks.

Alexander Jung, S. Abdurakhmanova, Olga Kuznetsova, Yasmin Sarcheshmehpour

Proceedings of the 31st European Signal Processing Conference, 2023

2021

Local Graph Clustering With Network Lasso.

Alexander Jung, Yasmin Sarcheshmehpour

IEEE Signal Process. Lett., 2021

Networked Federated Multi-Task Learning.

Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung

CoRR, 2021

Federated Learning from Big Data Over Networks.

Yasmin Sarcheshmehpour, M. Leinonen, Alexander Jung

Proceedings of the IEEE International Conference on Acoustics, 2021

Flow-Based Clustering and Spectral Clustering: A Comparison.

Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021