Name
Abstract | ||
|---|---|---|
The popular federated edge learning (FEEL) framework allows privacy-preserving collaborative model training via frequent learning-updates exchange between edge devices and server. Due to the constrained bandwidth, only a subset of devices can upload their updates at each communication round. This has led to an active research area in FEEL studying the optimal device scheduling policy for minimizin... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SPAWC51858.2021.9593157 | 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
DocType | ISBN | Citations |
Conference | 978-1-6654-2851-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maojun Zhang | 1 | 0 | 0.34 |
| Guangxu Zhu | 2 | 343 | 24.03 |
| Shuai Wang | 3 | 8 | 1.14 |
| Jiamo Jiang | 4 | 3 | 2.76 |
| Caijun Zhong | 5 | 2007 | 120.77 |
| Shuguang Cui | 6 | 521 | 54.46 |