Name
Title | ||
|---|---|---|
Federated Learning with Adaptive Communication Compression Under Dynamic Bandwidth and Unreliable Networks |
Abstract | ||
|---|---|---|
•We propose a cloud-edge-clients architecture Cecilia for federated learning.•We propose a algorithm called ACFL to integrate into Cecilia.•ACFL can adaptively compress shared information according to network conditions.•The theoretical convergence of ACFL is analyzed without data distribution assumptions.•We conduct extensive experiments to validate the superiority of ACFL. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.05.137 | Information Sciences |
Keywords | DocType | Volume |
Federated learning,Communication compression,Dynamic bandwidth,Unreliable networks | Journal | 540 |
ISSN | Citations | PageRank |
0020-0255 | 1 | 0.36 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiongtao Zhang | 1 | 3 | 2.10 |
| Xiaomin Zhu | 2 | 921 | 100.31 |
| Ji Wang | 3 | 140 | 12.56 |
| Hui Yan | 4 | 7 | 1.80 |
| Huangke Chen | 5 | 339 | 16.53 |
| Weidong Bao | 6 | 23 | 6.49 |