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Published at December 9H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
cs.LG
Released Date: December 9, 2024
Authors: Jiechao Gao1, Yuangang Li2, Yue Zhao2, Brad Campbell1
Aff.: 1Department of Computer Science University of Virginia; 2Thomas Lord Department of Computer Science University of Southern California

| Dataset | Dimension | # Samples (Train / Test) | Classes | #Fixed Classes per Client |
|---|---|---|---|---|
| MNIST | 28 x 28 | 500,000 / 10,000 | 10 | 6 |
| WISDM (WATCH) | 200 x 6 | 16,569 / 4,103 | 12 | 7 |
| WIDAR | 22 x 20 x 20 | 11,372 / 5,222 | 9 | 5 |
| WISDM (PHONE) | 200 x 6 | 13,714 / 4,073 | 12 | 7 |