6 papers
One-Step Generative CSI Prediction
Mehdi Sattari, Javad Aliakbari, Alexandre Graell i Amat +1
Channel state information (CSI) prediction has emerged as a promising approach for mitigating channel aging in wireless communication systems. Recently, generative models have been…
TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction
Kiarash Rezaei, Mehdi Sattari, Javad Aliakbari +3
Reliable prediction of time-varying channel state information (CSI) is essential for efficient wireless communication. Each CSI frame is a matrix-valued representation of the wirel…
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…
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…
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…
Decoupled Subgraph Federated Learning
Javad Aliakbari, Johan Östman, Alexandre Graell i Amat
We address the challenge of federated learning on graph-structured data distributed across multiple clients. Specifically, we focus on the prevalent scenario of interconnected subg…