Technology
Federated Learning for Construction
Collaborative AI training across organizations without sharing data.
Definition
Federated Learning for Construction enables multiple organizations to collaboratively train AI models without sharing sensitive project data. Each organization trains on their local data, and only model updates are shared. This allows industry-wide learning while protecting proprietary information and client confidentiality.
Examples
1
Training cost models across firms without sharing data
2
Improving safety models collaboratively
3
Sharing productivity insights industry-wide
Related Use Cases
See how Federated Learning for Construction is applied in real AEC workflows:
Related Terms
Related Keywords
federated learningprivacy-preserving AIcollaborative MLdistributed learning
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