Input
Start from the bounded source.
- Participant policies, local datasets, model version, and privacy rules.
AuraOne / Models / Representative walkthrough
Review a distributed training round without losing data boundaries.
This representative flow shows participant eligibility, aggregation policy, privacy checks, exceptions, and the governed model handoff.
Model and data teams operating distributed training across controlled participants. This page uses representative checked-in content and does not claim live customer, provider, or production state.
Evidence ledger
Walkthrough boundary
- Type
- Read-only product walkthrough
- Data
- Checked-in representative content
- Purpose
- Buyer and reviewer inspection
- Limit
- Not a live run, availability claim, or customer record
Representative product evidence
Federated Learning walkthrough
Source and decision context
The walkthrough begins with a bounded object, explicit criteria, and a named reviewer.
| Record | Representative value | State |
|---|---|---|
| Input | Participant policies, local datasets, model version, and privacy rules. | Attached |
| Criteria | Eligibility, aggregation integrity, privacy bounds, and drift. | Versioned |
| Reviewer | Training owner, privacy reviewer, and model approver. | Assigned |
How the Federated Learning workflow is represented.
The sequence keeps the source object, responsible work, and reviewable output distinct.
Work
Keep judgment and ownership visible.
- Validate participants, train locally, aggregate, review, and attest.
- Eligibility, aggregation integrity, privacy bounds, and drift.
Output
Retain the result and its evidence.
- A governed model update with participant and privacy evidence.
Representative decision path
Each checkpoint identifies what is reviewed and what record continues with the decision.
01
Scope
Participant policies, local datasets, model version, and privacy rules.
Participant attestations
02
Review
Validate participants, train locally, aggregate, review, and attest.
Aggregation record
03
Decide
Aggregate, exclude, retry, or hold the round.
Named decision and owner
04
Handoff
A governed model update with participant and privacy evidence.
Privacy review
Evidence packet preview
Federated Learning representative packet
These fields describe the evidence contract. A scoped program uses the actual source, version, owner, criteria, and approval.
- Criteria
- Eligibility, aggregation integrity, privacy bounds, and drift.
- Reviewer
- Training owner, privacy reviewer, and model approver.
- Decision
- Aggregate, exclude, retry, or hold the round.
- Output
- A governed model update with participant and privacy evidence.
Exact next step
Replace the representative record with your real workflow.
The structured brief captures the source work, decision, stakes, reviewers, and timeline without asking for restricted material.