Zheng Chen

Universitetslektor, Docent

Besök den engelska sidan för mer information.

Publikationer

Chung-Hsuan Hu, Zheng Chen, Erik G Larsson, Energy-Efficient Federated Edge Learning With Streaming Data: A Lyapunov Optimization Approach, IEEE Transactions on Communications 73:1142-1156 (2025) https://doi.org/10.1109/TCOMM.2024.3443731

Daniel Pérez Herrera, Zheng Chen, Erik G Larsson, Faster Convergence With Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning Over Wireless Networks, IEEE Open Journal of the Communications Society 6:1497-1511 (2025) https://doi.org/10.1109/OJCOMS.2025.3540133

Yuhang Deng, Zheng Chen, Erik G. Larsson, Robust and Efficient Average Consensus with Non-Coherent Over-the-Air Aggregation (2025) https://arxiv.org/abs/2504.05729

Adrian Edin, Zheng Chen, Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?, 2024 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR COMMUNICATION AND NETWORKING, ICMLCN 2024, pp. 287-292, IEEE (2024) https://doi.org/10.1109/ICMLCN59089.2024.10625081

Adrian Edin, Zheng Chen, Michel Kieffer, Mikael Johansson, Temporal Predictive Coding for Gradient Compression in Distributed Learning, 2024 60TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, ALLERTON 2024, Annual Allerton Conference on Communication Control and Computing, IEEE (2024) https://doi.org/10.1109/ALLERTON63246.2024.10735311

Nyheter

Deltagarna vid 2022 IEEE SPS - EURASIP Summer School

Framtidens supersnabba 6G-nät i fokus

Knappt har 5G blivit verklighet, då frågan om vad 6G kommer att innebära ställs. Det var utgångspunkten då 2022 IEEE SPS - EURASIP Summer School arrangerades vid Linköping universitet.