DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs explores A privacy-preserving federated learning framework using efficient LLMs for log anomaly detection in distributed systems.. Commercial viability score: 7/10 in Federated Learning for Security.

Tier 3 — ExploratoryCoverage 50%Cost unknown

Coverage50%

Unsigned (operator gate)

Updated 7 days ago computingPending verification refs / 3 sources / Verification pending

Export Brief Open in Build Loop Connect with Author

Signal Canvas

View PDF ↗

Use This Via API or MCP

Use the canonical paper page as a proof artifact

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.

Start Here Open Signal Canvas Open Build Loop Launch Pack Example

Page Freshness

Paper proof surface

Canonical route: /paper/dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-22
Score updated: 2026-04-22
Score fresh until: 2026-05-22
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

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Canonical ID dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms | Route /paper/dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2604.19118"
  }
}

source_context

{
  "surface": "paper",
  "mode": "paper",
  "query": "DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs",
  "normalized_query": "2604.19118",
  "route": "/paper/dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms",
  "paper_ref": "dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Paper proof page receipt window

Watch and verify: DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

/buildability/dp-flogtinyllm-differentially-private-federated-log-anomaly-detection-using-tiny-llms

Watchwatch

Subject: DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

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

Research neighborhood

Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.

Open full Signal Canvas

Research neighborhood

Interactive graph renders after load.

Preparing verified analysis

Key claims

Strong 1Mixed 0Weak 0

Source proof

Visual citation anchors from the paper document graph.

20 anchors

proof block

Commercialization panels stay hidden until this paper clears the verified proof thresholds: 3+ references, 2+ sources, 50%+ coverage, and a recorded proof check. The paper proof surfaces remain public while verification is pending.

Owned Distribution

Subscribe to the weekly brief

Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

PDF Viewer

100%

Open Full PDF

References

References are not available from the internal index yet.

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Use the canonical paper page as a proof artifact

Paper proof surface

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Watch and verify: DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Compute envelope

Evidence ids

Research neighborhood

Key claims

Source proof

Subscribe to the weekly brief

References

Freshness

Hash state

Signature state

Blockers

Competitive landscape

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Use the canonical paper page as a proof artifact

Paper proof surface

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Watch and verify: DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

Compute envelope

Evidence ids

Research neighborhood

Key claims

Source proof

Subscribe to the weekly brief

References

Related Papers

Freshness

Hash state

Signature state

Blockers

Competitive landscape