PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (88)

[1]
Non-Intrusive Graph-Based Bot Detection for E-Commerce Using Inductive Graph Neural Networks
2026Sichen Zhao, Zhiming Xue et al.
[2]
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
2026Chen Feng, Ming Shen et al.
[3]
CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search
2026Zequn Xie
[4]
HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
2026Zequn Xie, Xin Liu et al.
[5]
Delving Deeper: Hierarchical Visual Perception for Robust Video-Text Retrieval
2026Zequn Xie, Boyun Zhang et al.
[6]
Federated learning in oncology: bridging artificial intelligence innovation and privacy protection
2026Xin Qi, Tao Xu et al.
[7]
Over++: Generative Video Compositing for Layer Interaction Effects
2025Luchao Qi, Jiaye Wu et al.
[8]
CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
2025Sifan Zhou, Yichao Cao et al.
[9]
DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm
2025Junkang Liu, Yuxuan Tian et al.
[10]
FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
2025Junkang Liu, Fanhua Shang et al.
[11]
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
2025Junkang Liu, Fanhua Shang et al.
[12]
Unveiling Open-set Noise: Theoretical Insights into Label Noise
2025Chen Feng, N. Sebe et al.
[13]
FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking
2025Sifan Zhou, Jiahao Nie et al.
[14]
Consistency of Local and Global Flatness for Federated Learning
2025Junkang Liu, Fanhua Shang et al.
[15]
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
2025Lei Wang, Jieming Bian et al.
[16]
Chat-Driven Text Generation and Interaction for Person Retrieval
2025Zequn Xie, Chuxin Wang et al.
[17]
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition
2025Shuang Wu, Heng Liang et al.
[18]
FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
2025Junkang Liu, Yuanyuan Liu et al.
[19]
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
2025Shaocheng Yan, Pengcheng Shi et al.
[20]
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
2025Sifan Zhou, Zhihang Yuan et al.

Showing 20 of 88 references

Founder's Pitch

"LA-LoRA enhances privacy-preserving federated learning by improving accuracy in differential privacy settings with state-of-the-art results."

Federated LearningScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/23/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.