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

Daniel Pérez Herrera, Zheng Chen, Erik G Larsson, Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling, ICC 2024 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, IEEE International Conference on Communications, pp. 932-937, IEEE (2024) https://doi.org/10.1109/ICC51166.2024.10622904

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.