proof blockPage 382%
This equation captures one of the core mathematical components of the system. protocol execution begins (i.e., 𝑡= 1 when 𝐾= 3); the corrupted
Page and bbox are available; crop image is pending.
Secure and Privacy-Preserving Vertical Federated Learning explores A privacy-preserving framework for vertically split federated learning using secure multiparty computation and differential privacy.. Commercial viability score: 2/10 in Federated Learning.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/secure-and-privacy-preserving-vertical-federated-learning
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID secure-and-privacy-preserving-vertical-federated-learning | Route /paper/secure-and-privacy-preserving-vertical-federated-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/secure-and-privacy-preserving-vertical-federated-learningMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.13474"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Secure and Privacy-Preserving Vertical Federated Learning",
"normalized_query": "2604.13474",
"route": "/paper/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
}Paper proof page receipt window
/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.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 2.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. protocol execution begins (i.e., 𝑡= 1 when 𝐾= 3); the corrupted
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/secure-and-privacy-preserving-vertical-federated-learning
Paper ref
secure-and-privacy-preserving-vertical-federated-learning
arXiv id
2604.13474
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%
Lineage hash
5ada3a071a3908f9276e2f097e99e6c21e99db6b608c1b5e9789f379fd5028e5
Canonical opportunity-kernel lineage hash.
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. here 𝑐0 = 1 and 𝑐𝑗= 0 when 𝑗≥𝑝. This 𝑝-BSR matrix serves as
Page and bbox are available; crop image is pending.
This equation defines the loss the model is optimizing during training. Secure and Privacy-Preserving Vertical Federated Learning
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.