معرفی
Diyako Ghaderyan is a Postdoctoral Researcher in the Department of Information and Communications Engineering at Aalto University, affiliated with the Risto Wichman Group. His research focuses on signal processing and machine learning, particularly in decentralized and federated learning frameworks.
Research Interests:
- Quantile Regression
- Non-Convex Optimization
- Distributed Signal Processing
- Sparse Signal Reconstruction
Recent publications address advanced optimization techniques for decentralized and federated networks, including ADMM and proximal gradient methods. His work appears in journals such as IEEE Signal Processing Letters and IEEE Transactions on Signal and Information Processing over Networks.
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