Decentralized Training & Federated Learning
This category covers distributed AI model training where data, computation, evaluation, or participant contributions are spread across different nodes, teams, or users.
Market indicators
What Decentralized Training & Federated Learning means
This is one of crypto's most AI-native layers. When a network genuinely coordinates training, verification, and participant rewards, the token can be connected to creating a model rather than merely accessing an application.
How this segment differs
Decentralized Training & Federated Learning describes the technique of distributing training and contributions among participants. Model Training & Fine-tuning Networks describes the infrastructure layer that organizes tasks, computation, verification, and rewards.
What to watch
Look for operational training tasks, result validation, model artifacts, reward mechanisms, and clear protection against low-quality contributions. Promising decentralized training without a working process is weak evidence.
Segment health and breadth
Market cap structure
Movement within the segment Click a ticker to highlight the coin in the table below Expand
Segment overlap map 3 vocabularies, 9 overlaps Expand
| # | Coin | Price | 1h | 24h | 7d | 30d | 60d | 90d | 24h volume | Market cap | AI Score |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
$0.0869 | 0.00% | -85.36% | 8.90% | 28.85% | 39.30% | 7.31% | No data | $105.24M |
65
|
| 2 |
|
$0.06569 | -3.15% | -7.63% | 38.24% | 37.05% | 34.00% | 35.21% | $7.27M | $81.68M |
63
|
| 3 |
|
$0.1596 | 0.59% | -3.19% | 1.51% | 24.60% | 21.04% | -9.60% | $28.24M | $65.46M |
66
|
| 4 |
|
$1.07 | 0.35% | -2.37% | -7.03% | 20.50% | 22.31% | -8.43% | $1.28M | $32.12M |
64
|
| 5 |
|
$0.0638 | -0.22% | -5.13% | -9.69% | 84.33% | 127.71% | 80.06% | $13.33M | $30.77M |
74
|
| 6 |
|
$0.0203 | 0.01% | -0.88% | -1.09% | 4.82% | -10.29% | -28.62% | $2.24M | $26.55M |
66
|
| 7 |
|
$0.0446 | -0.02% | -5.16% | -7.81% | -8.28% | 8.53% | -2.91% | $807 | $1.49M |
46
|
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