Federated AI
Industry Consortium
Train on cross-industry data without sharing data. Contribution-weighted FedAvg with (ε=1.0, δ=1e-5)-DP Gaussian aggregation. SHA3-256 pseudonymised members. k-anonymity DP leaderboard across 8 industries.
How the Consortium Works
Privacy-preserving federated learning — your data never leaves your infrastructure
Register & Contribute
Register your company in the consortium via POST /api/v1/consortium/register. Specify your industry vertical. BrainPredict derives your contribution weight from data quality and volume proxy — without accessing your raw data.
Federated Weight Submission
Each federated learning round, your BrainPredict instance computes local model weight deltas from your data. Weight deltas (not raw data) are signed with Dilithium-3 and submitted to the coordination server.
DP-Gaussian Aggregation
The coordinator applies (ε=1.0, δ=1e-5)-Gaussian differential privacy noise to all weight deltas before contribution-weighted FedAvg aggregation. No raw data leaves any member organisation. Ever.
DP-Protected Leaderboard
The industry leaderboard shows cross-company AI performance with σ-noised percentiles and k≥3 anonymity guard. You see how you rank without knowing exactly who you are comparing against.
Active Industry Verticals
Better models. Zero data sharing.
Join the cross-industry consortium and improve your AI performance by learning from the collective — with mathematical privacy guarantees.
Apply for Consortium Membership