Name
Title | ||
|---|---|---|
Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks |
Abstract | ||
|---|---|---|
Federated Learning (FL) is a promising privacy-preserving distributed machine learning paradigm. However, communication inefficiency remains the key bottleneck that impedes its large-scale implementation. Recently, hierarchical FL (HFL) has been proposed in which data owners, i.e., workers, can first transmit their updated model parameters to edge servers for intermediate aggregation. This reduces... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAC.2021.3118401 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Servers,Resource management,Games,Data models,Training,Dynamic scheduling,Computational modeling | Journal | 39 |
Issue | ISSN | Citations |
12 | 0733-8716 | 10 |
PageRank | References | Authors |
0.46 | 36 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| WYB Lim | 1 | 16 | 3.24 |
| JS Ng | 2 | 11 | 2.50 |
| Zehui Xiong | 3 | 586 | 54.94 |
| Niyato Dusit | 4 | 9486 | 547.06 |
| Chunyan Miao | 5 | 2307 | 195.72 |
| Dong In Kim | 6 | 3784 | 220.90 |