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20192026
most citedFairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge

24 citations · 79 across the 20 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

eess.SP2025

On Signal Peak Power Constraint of Over-the-Air Federated Learning

Lorenz Bielefeld, Paul Zheng, Oner Hanay +3

Federated learning (FL) has been considered a promising privacy preserving distributed edge learning framework. Over-the-air computation (AirComp) leveraging analog transmission en…

eess.SY2025

Joint Optimization for Security and Reliability in Round-Trip Transmissions for URLLC services

Xinyan Le, Yao Zhu, Yulin Hu +1

Physical layer security (PLS) is a potential solution for secure and reliable transmissions in future Ultra-Reliable and Low-Latency Communications (URLLC). This work jointly optim…

cs.CR2025

Physical Layer Deception as a Stackelberg Game: Strategy Regimes, Equilibrium, and Robust Design

Wenwen Chen, Bin Han, Yao Zhu +3

Physical layer deception (PLD) combines physical layer security (PLS) with deception: the transmitter actively misleads the eavesdropper with falsified information. We model the tr…

eess.SY2025★ 1 cited

Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…

eess.SY2025

Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed learning (DL) is considered a cornerstone of intelligence enabler, since it allows for collaborative training without the necessity for local clients to share raw data…