Wiki cleanup: error-doc removal, dedup merge, link normalization

10_Wiki/Topics 대규모 정리:
- 오류 캡처/미완성 stub 문서 227개 제거
- 교차폴더 중복 43클러스터 병합 (63파일 → redirect)
- 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건
- 카테고리 MOC 6개 신규 생성
- Graph 섹션 미해결 related-keyword 링크 10,058건 제거

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

10_Wiki/Topics/AI_and_ML/Privacy-Preserving-AI.md

@@ -147,10 +147,10 @@ nvidia-smi conf-compute -gar
 **기본값**: TEE (confidential computing) for inference; DP-SGD + federated for training across orgs.
 
 ## 🔗 Graph
-- 부모: [[Privacy]] · [[Cryptography]] · [[Machine-Learning]]
+- 부모: [[Privacy]] · [[Practical-Cryptography|Cryptography]] · [[Machine-Learning]]
 - 변형: [[Differential-Privacy]] · [[Federated-Learning]] · [[Homomorphic-Encryption]] · [[Secure-Multi-Party-Computation]]
-- 응용: [[Healthcare-AI]] · [[FinTech-AI]] · [[On-Device-ML]]
-- Adjacent: [[Trusted-Execution-Environment]] · [[Machine-Unlearning]] · [[Synthetic-Data]]
+- 응용: [[On-Device-ML]]
+- Adjacent: [[Synthetic-Data]]
 
 ## 🤖 LLM 활용
 **언제**: regulated data (HIPAA, GDPR, PCI), cross-org training, on-device personalization, untrusted-cloud inference.