Secure and Privacy-Preserving Vertical Federated Learning
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/secure-and-privacy-preserving-vertical-federated-learning
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 2/10
- Last proof check
- 2026-04-16
- Score updated
- 2026-04-16
- Score fresh until
- 2026-05-16
- References
- 0
- Source count
- 3
- Coverage
- 50%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Secure and Privacy-Preserving Vertical Federated Learning
Canonical ID secure-and-privacy-preserving-vertical-federated-learning | Route /signal-canvas/secure-and-privacy-preserving-vertical-federated-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/secure-and-privacy-preserving-vertical-federated-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "secure-and-privacy-preserving-vertical-federated-learning",
"query_text": "Summarize Secure and Privacy-Preserving Vertical Federated Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Secure and Privacy-Preserving Vertical Federated Learning",
"normalized_query": "2604.13474",
"route": "/signal-canvas/secure-and-privacy-preserving-vertical-federated-learning",
"paper_ref": "secure-and-privacy-preserving-vertical-federated-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Secure and Privacy-Preserving Vertical Federated Learning
PDF: https://arxiv.org/pdf/2604.13474v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-16T18:21:22.343Z
Signal Canvas receipt window
Not build-ready: Secure and Privacy-Preserving Vertical Federated Learning
/buildability/secure-and-privacy-preserving-vertical-federated-learning
Subject: Secure and Privacy-Preserving Vertical Federated Learning
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/secure-and-privacy-preserving-vertical-federated-learning
Paper ref
secure-and-privacy-preserving-vertical-federated-learning
arXiv id
2604.13474
Freshness
Generated at
2026-04-16T18:21:22.343Z
Evidence freshness
stale
Last verification
2026-04-16T18:21:22.343Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
5ada3a071a3908f9276e2f097e99e6c21e99db6b608c1b5e9789f379fd5028e5
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Secure and Privacy-Preserving Vertical Federated Learning
Canonical Paper Receipt
Last verification: 2026-04-16T18:21:22.343ZFreshness: stale
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 2.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
No public claim map is available for this paper yet.
Startup potential card
Related Resources
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- How can graph neural networks be adapted for federated learning scenarios on distributed graph data?(question)
BUILDER'S SANDBOX
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