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Label granularity skew can drastically undermine federated learning performance, but FedBDFT offers a robust solution that significantly improves classification accuracy under this challenge.
Taming the unpredictable dance between humans, AI agents, and the physical world might be possible by reintroducing determinism into agentic human-in-the-loop cyber-physical systems.
Find bugs in your robot code *before* they cause real-world problems with Automated CPS Testing (ACT), a CI/CD framework for open-source robotics.
