DeepSeek Node Network

Architecture Deep Dive

The DeepSeek Node Network employs a sophisticated three-tier architecture designed for secure, distributed machine learning:

1. Edge Node Layer

Distributed edge nodes perform local model training using proprietary DeepSeek algorithms. Each node features:

• Secure data containers with homomorphic encryption
• Local model training modules
• Resource allocation governors
• Network communication interfaces

2. Aggregation Layer

Our patented Secure Aggregation Protocol ensures privacy-preserving model updates:

1. Edge nodes encrypt model gradients
2. Aggregators perform secure multi-party computation
3. Differential privacy noise injection
4. Global model update generation
                    

3. Core Model Repository

The centralized model vault provides version control and deployment management:

• Model versioning with Git-like semantics
• Automated performance benchmarking
• Deployment pipelines with CI/CD integration

$SEEKNODE Economy Model

Our native currency powers all network operations through a dual-token system:

Resource Pricing

Resource	Unit	SEEKNODE Cost
Compute	1 PFLOP	0.25 SEEK
Storage	1 TB/day	0.10 SEEK
Bandwidth	1 Gbps	0.05 SEEK

Earning Mechanisms

• Compute contribution rewards
• Model accuracy bounties
• Data validation tasks
• Network governance participation