28 citations · 61 across the 15 of their papers we have counts for
17 papers
TransCoder: A Neural-Enhancement Framework for Channel Codes
Anastasiia Kurmukova, Selim F. Yilmaz, Emre Ozfatura +1
Reliable communication over noisy channels requires the design of specialized error-correcting codes (ECCs) tailored to specific system requirements. Recently, neural network-based…
Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
Selim F. Yilmaz, Can Karamanli, Deniz Gunduz
We consider multiple transmitters aiming to communicate their source signals (e.g., images) over a multiple access channel (MAC). Conventional communication systems minimize interf…
SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models
Jiakang Chen, Selim F. Yilmaz, Di You +2
Joint source-channel coding systems based on deep neural networks (DeepJSCC) have recently demonstrated remarkable performance in wireless image transmission. Existing methods prim…
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz +6
The increasing demand for efficient resource allocation in mobile networks has catalyzed the exploration of innovative solutions that could enhance the task of real-time cellular t…
Private Collaborative Edge Inference via Over-the-Air Computation
Selim F. Yilmaz, Burak Hasircioglu, Li Qiao +1
We consider collaborative inference at the wireless edge, where each client's model is trained independently on its local dataset. Clients are queried in parallel to make an accura…
Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information
Selim F. Yilmaz, Ezgi Ozyilkan, Deniz Gunduz +1
We consider low-latency image transmission over a noisy wireless channel when correlated side information is present only at the receiver side (the Wyner-Ziv scenario). In particul…