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Paper

Non-Interactive Decision Trees and Applications with Multi-Bit TFHE

by Independent / Community 0027ebe30bc18a8cb345c1d3e363bdf89adee7aa

Free2AITools Nexus Index

65.1

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 75

P: Popularity 50

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Machine learning classification algorithms, such as decision trees and random forests, are commonly used in many applications. Clients who want to classify their data send them to a server that performs their inference using a trained model. The client must trust the server and provide the data in plaintext. Moreover, if the classification is done at a third-party cloud service, the model owner also needs to trust the cloud service. In this paper, we propose a protocol for privately evaluatin...

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Semantic Scholar 8 Citations

Paper Information Summary
Entity Passport
Registry ID	0027ebe30bc18a8cb345c1d3e363bdf89adee7aa
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0027ebe30bc18a8cb345c1d3e363bdf89adee7aa,
  author = {Unknown},
  title = {Non-Interactive Decision Trees and Applications with Multi-Bit TFHE Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0027ebe30bc18a8cb345c1d3e363bdf89adee7aa}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Non-Interactive Decision Trees and Applications with Multi-Bit TFHE [Paper]. Free2AITools. https://api.semanticscholar.org/0027ebe30bc18a8cb345c1d3e363bdf89adee7aa

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 75

Popularity (P) 50

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Non-Interactive Decision Trees and Applications with Multi-Bit TFHE: Authority (A:75), Popularity (P:50), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"Machine learning classification algorithms, such as decision trees and random forests, are commonly used in many applications. Clients who want to classify their data send them to a server that performs their inference using a trained model. The client must trust the server and provide the data in plaintext. Moreover, if the classification is done at a third-party cloud service, the model owner also needs to trust the cloud service. In this paper, we propose a protocol for privately evaluatin..."

❝ Cite Node

@article{Unknown2026Non-Interactive,
  title={Non-Interactive Decision Trees and Applications with Multi-Bit TFHE},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈8CitationsSemantic Scholar

🏛️75AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

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Technical metadata sourced from upstream repositories.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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downloads: 0
stars: null
forks: null
citations: 8

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