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cs.LG2025
Subgraph Federated Learning via Spectral Methods
Javad Aliakbari, Johan Östman, Ashkan Panahi +1
We consider the problem of federated learning (FL) with graph-structured data distributed across multiple clients. In particular, we address the prevalent scenario of interconnecte…
eess.SP2025
CSI Prediction Using Diffusion Models
Mehdi Sattari, Javad Aliakbari, Alexandre Graell i Amat +1
Acquiring accurate channel state information (CSI) is critical for reliable and efficient wireless communication, but challenges such as high pilot overhead and channel aging hinde…
cs.LG2025
Bounds on Perfect Node Classification: A Convex Graph Clustering Perspective
Firooz Shahriari-Mehr, Javad Aliakbari, Alexandre Graell i Amat +1
We present an analysis of the transductive node classification problem, where the underlying graph consists of communities that agree with the node labels and node features. For no…