notesum.ai
Published at October 30FISC: Federated Domain Generalization via Interpolative Style Transfer and Contrastive Learning
cs.LG
cs.CV
cs.DC
Released Date: October 30, 2024
Authors: Dung Thuy Nguyen1, Taylor T. Johnson1, Kevin Leach1
Aff.: 1Department of Computer Science, Vanderbilt University, Nashville, TN 37212, USA

| Validation Accuracy | Test Accuracy | ||||||||||
| Dataset | Methods | A | P | C | S | AVG | P | S | A | C | AVG |
| PACS | FedSR | 14.80% | 14.67% | 13.39% | 13.36% | 14.06% | 13.80% | 13.97% | 14.55% | 12.87% | 13.80% |
| FedGMA | 39.31% | 94.13% | 63.95% | 36.22% | 58.40% | 73.83% | 64.85% | 73.10% | 52.73% | 66.13% | |
| FPL | 77.93% | 94.49% | 64.97% | 31.61% | 67.25% | 93.53% | 55.97% | 62.01% | 51.83% | 65.84% | |
| FedDG-GA | 64.99% | 92.46% | 63.18% | 32.73% | 63.34% | 84.19% | 63.55% | 61.87% | 48.08% | 64.42% | |
| CCST | 68.51% | 96.41% | 59.26% | 35.68% | 64.97% | 86.89% | 59.91% | 71.78% | 50.94% | 67.38% | |
| Ours | 73.63% | 95.57% | 69.41% | 35.91% | 68.63% | 93.05% | 66.20% | 71.73% | 53.11% | 71.02% | |
| C | A | R | P | AVG | A | P | C | R | AVG | ||
| OfficeHome | FedSR | 1.40% | 1.24% | 1.36% | 1.31% | 1.33% | 1.15% | 1.14% | 1.34% | 1.33% | 1.24% |
| FedGMA | 43.18% | 54.92% | 66.81% | 54.29% | 54.80% | 55.71% | 66.43% | 39.91% | 56.83% | 54.72% | |
| FPL | 45.72% | 56.82% | 69.45% | 46.18% | 54.54% | 59.95% | 65.22% | 43.99% | 52.54% | 55.43% | |
| FedDG-GA | 38.99% | 51.38% | 63.85% | 48.07% | 50.57% | 51.63% | 62.38% | 36.68% | 54.79% | 51.37% | |
| CCST | 44.81% | 52.48% | 62.29% | 49.85% | 52.36% | 52.20% | 62.79% | 38.37% | 54.88% | 52.06% | |
| Ours | 46.74% | 58.84% | 71.13% | 55.31% | 58.01% | 60.09% | 67.54% | 45.41% | 61.62% | 58.67% | |
| PACS: A: Art-Painting, P: Photo, C: Cartoon, S: Sketch | |||||||||||
| OfficeHome: C: Clipart, A: Art, R: Real World, P: Product | |||||||||||