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\section{Case Studies}
\label{sec:case_studies}
\subsection{Cross-Continental Tiger Monitoring}
Three sites in the consortium monitor tiger populations (Sundarbans, Western Ghats, SE Asian sites).
Local-only models achieved 67\% individual identification accuracy due to small per-site sample sizes.
ZooFed's federated training, with species embedding sharing for Panthera tigris, improved identification to 84\%, enabling the first cross-site population connectivity analysis without sharing raw location data.
\subsection{Acoustic Biodiversity in the Amazon}
The Amazon Basin site contributed only acoustic data.
Through HSA cross-modal alignment with visual data from other Neotropical sites, the acoustic model for bird species improved from 71\% to 88\% accuracy, demonstrating that visual knowledge transfers meaningfully to acoustic identification through the shared embedding space.
\subsection{Marine eDNA Privacy}
The Great Barrier Reef site contained eDNA detection records for 12 critically endangered marine species.
Under CCDP with $\gamma=2$, these species received $\epsilon=0.2$ privacy guarantees---sufficient to prevent re-identification of sampling locations even given strong auxiliary information---while overall marine species detection accuracy degraded by only 1.8\% compared to no-privacy training.
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