Definition
In artificial intelligence, ’local’ typically denotes operations performed directly on a user’s hardware, such as a laptop or smartphone, without relying on remote servers. This approach enhances data privacy and reduces latency, as sensitive information does not leave the device. It is increasingly important for edge computing applications where real-time decision-making is critical and network connectivity may be unreliable or non-existent.
Summary
Refers to processing or storing data on a specific device rather than in a centralized cloud environment.
Key Concepts
- Edge Computing
- Data Privacy
- On-device Processing
- Latency Reduction
Use Cases
- Privacy-sensitive voice assistants
- Real-time object detection on mobile devices
- Offline AI applications