IFATCA 2025 in Numbers * Delegates Registered. * Member Associations Present. * Member Associations Represented. * Proxies Held. *
Baymac presents a promising direction for integrating Bayesian inference with MAC-layer decisions in edge networks. By dynamically prioritizing uncertain data for cloud processing and confident data for local execution, Baymac achieves lower latency, reduced energy use, and higher accuracy. Further real-world deployments are needed to validate these simulation findings. baymac
| Scheduler | Latency (ms) | Energy (mJ/pkt) | Accuracy (%) | |--------------------|--------------|----------------|--------------| | Round-robin | 142 ± 21 | 3.4 ± 0.3 | 78.2 | | Threshold-based | 118 ± 18 | 2.9 ± 0.4 | 82.1 | | | 97 ± 12 | 2.1 ± 0.2 | 88.6 | IFATCA 2025 in Numbers * Delegates Registered