I’m currently working on a Q1-level paper (under review) that proposes a novel framework integrating:

The model achieved 99.36% accuracy on the CIC-IoT 2023 dataset with significantly reduced latency and processing time, outperforming PoW, PoA, and traditional aggregation strategies in real-world IoT scenarios.

Question:

What fundamental bottlenecks or adversarial risks do you foresee in making such hybrid FL-blockchain architectures the standard protocol for real-time, privacy-sensitive IoT environments?

Additionally, how can we further optimize or generalize these components (especially Ze-KPr or Fr-Agg) for large-scale industrial deployments without compromising auditability or model convergence?