The first paper extends our long-term research on network (topology) tomography to machine learning, by studying the use of tomographic information in overlay-based decentralized learning:
- Yudi Huang, Tingyang Sun, and Ting He, Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks, ACM MobiHoc, October 2024. [full version in arXiv]
The second paper results from our collaboration with Prof. Ki-Il Kim and his team at Chungnam National University, Korea, for applying machine learning in the severely resource-constrained environment of Wireless Body Area Network (WBAN):
- Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, and Ki Il Kim, Active Learning for WBAN-based Health Monitoring, ACM MobiHoc, October 2024. [full version in arXiv]
Congratulations to the newly bestowed Dr. Huang and Dr. Chiu! What a great way to wrap up a PhD!
Look forward to meeting old/new friends at the conference soon.