Figure 1.
Figure 2.
Figure 3.
Figure 4.
Ternary Optimization Key Concepts
| Advantages | Disadvantages | Application | Latest achievements |
|---|---|---|---|
| Computational Efficiency | Loss of Accuracy | Deep Learning | Improved Training Methods |
| Memory Savings | Training Complexity | Edge Computing | Hybrid Approaches |
| Energy Efficiency | Hardware Support | NLP | Hardware Acceleration |
| Sparsity | Convergence Issues | Computer Vision | |
| Balanced Trade-off | Hardware Design |