@inproceedings{octopus,author={Chen, Yongzhou and Tahir, Ammar and Yan, Francis Y. and Mittal, Radhika},title={Octopus: In-Network Content Adaptation to Control Congestion on 5G Links},year={2024},isbn={9798400701238},publisher={Association for Computing Machinery},address={Wilmington, DE},url={https://doi.org/10.1145/3583740.3628438},booktitle={Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing},pages={199–214},numpages={16},}
2023
MLSys’25(Workshop)
FedSS: Federated Learning with Smart Selection of Clients
Ammar Tahir*, Yongzhou Chen*, and Prashanti Nilayam
In Federated Learning Systems (FLSys) Workshop @ MLSys 2023, 2023
@inproceedings{fedss,title={Fed{SS}: Federated Learning with Smart Selection of Clients},author={Tahir, Ammar and Chen, Yongzhou and Nilayam, Prashanti},booktitle={Federated Learning Systems (FLSys) Workshop @ MLSys 2023},year={2023},url={https://openreview.net/forum?id=kSIJ3ScQ-e},}
NSDI’23
Channel-Aware 5G RAN Slicing with Customizable Schedulers
Yongzhou Chen, Ruihao Yao, Haitham Hassanieh, and 1 more author
In 20th USENIX Symposium on Networked Systems Design and Implementation, Apr 2023
@inproceedings{radiosaber,author={Chen, Yongzhou and Yao, Ruihao and Hassanieh, Haitham and Mittal, Radhika},title={{Channel-Aware} 5G {RAN} Slicing with Customizable Schedulers},booktitle={20th USENIX Symposium on Networked Systems Design and Implementation},year={2023},isbn={978-1-939133-33-5},address={Boston, MA},pages={1767--1782},url={https://www.usenix.org/conference/nsdi23/presentation/chen-yongzhou},publisher={USENIX Association},month=apr,}