activity
20222025
most citedByzantines can also Learn from History: Fall of Centered Clipping in Federated Learning

17 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2025

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…

eess.SP2025

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN

Chenghong Bian, Yulin Shao, Deniz Gunduz

The rapid growth of data traffic and the emerging AI-native wireless architectures in NextG cellular systems place new demands on the fronthaul links of Cloud Radio Access Networks…

eess.SP2024★ 1 cited

CRC-Assisted Channel Codes for Integrated Passive Sensing and Communications

Chenghong Bian, Kaitao Meng, Huihui Wu +2

We propose a novel coded integrated passive sensing and communication (CIPSAC) system with orthogonal frequency division multiplexing (OFDM), where a multi-antenna base station (BS…

cs.LG2022★ 17 cited

Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning

Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu +1

The increasing popularity of the federated learning (FL) framework due to its success in a wide range of collaborative learning tasks also induces certain security concerns. Among…

cs.NI2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz +10

As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency. To unlea…