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20242026
most citedGC-Fed: Gradient Centralized Federated Learning with Partial Client Participation

2 citations · 2 across the 7 of their papers we have counts for

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cs.CR2026

Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks

Ferhat Ozgur Catak, Murat Kuzlu, Jungwon Seo +1

This paper presents a federated learning framework secured by quantum key distribution (QKD) for wireless channel estimation and radar spectrum sensing in the next generation netwo…

cs.AI2026

Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving

Jungwon Seo, Ferhat Ozgur Catak, Chunming Rong +1

Federated Inference (FI) studies how independently trained and privately owned models can collaborate at inference time without sharing data or model parameters. While recent work…