機械学習応用システムのアーキテクチャ・デザイパターン

パターン一覧

• Separation of Concerns and Modularization of ML Components
• Federated Learning
• Secure Aggregation
• Deployable Canary Model
• Event-driven ML Microservices
• Daisy Architecture
• Microservice Architecture
• Data Lake
• Kappa Architecture
• Lambda Architecture
• Discard PoC Code (PoCのコードは捨てる)
• Parameter-Server Abstraction
• Isolate Data Workload and Training Workload to Different Machines
• ML Versioning
• Encapsulate ML models within rule-base safeguards
• Distinguish Business Logic from ML Models
• ML Gateway Routing Architecture