-
for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness
-
. Still, many challenges are ahead. Expanding their impact in real-world deployments requires addressing the heterogeneity of hardware, data, and resource availability in distributed scenarios
Enter an email to receive alerts for distributed-algorithm
positions