Daily Arxiv

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A New Technique for AI Explainability using Feature Association Map

Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation

Gradient-Free Noise Optimization for Reward Alignment in Generative Models

LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series

MCPShield: Content-Aware Attack Detection for LLM Agent Tool-Call Traffic

TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment

DataMaster: Data-Centric Autonomous AI Research

Shields to Guarantee Probabilistic Safety in MDPs

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving

Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization

Combining Mechanical and Agentic Specification Inference for Move

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory

Pretraining large language models with MXFP4 on Native FP4 Hardware

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models

Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization

MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents

Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level

Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback

Gyan: An Explainable Neuro-Symbolic Language Model

Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization

Evaluation of Prompt Injection Defenses in Large Language Models

AmaraSpatial-10K: A Spatially and Semantically Aligned 3D Dataset for Spatial Computing and Embodied AI

Institutions for the Post-Scarcity of Judgment

Is SAM3 ready for pathology segmentation?

TStore: Rethinking AI Model Hub with Tensor-Centric Compression

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models

Technically Love: The Evolution of Human-AI Romance Discourse on Reddit

Skill-Conditioned Visual Geolocation for Vision-Language Models

LINE: LLM-based Iterative Neuron Explanations for Vision Models

Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessity

AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub

Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning

MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives

TiCo: Time-Controllable Spoken Dialogue Model

Delightful Distributed Policy Gradient

Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2

FlashSampling: Fast and Memory-Efficient Exact Sampling

A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task

Preconditioned Flow Matching

Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

Decentralized Ranking Aggregation via Gossip: Convergence and Robustness

Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials

Test-Time Training with KV Binding Is Secretly Linear Attention

interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification

Entropy Aware Reward Guidance for Diffusion Language Model Alignment

Exponential Approximation Rates and Parameter Efficiency of Learnable Bernstein Activations

Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs

RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine

Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks

Improving Classifier-Free Guidance of Flow Matching via Manifold Projection

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking

GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents

High-Rate Quantized Matrix Multiplication I

Automated Rubrics for Reliable Evaluation of Medical Dialogue Systems

FlowPlan-G2P: A Structured Generation Framework for Transforming Scientific Papers into Patent Descriptions

Deep Delta Learning

The Multi-View Paradigm Shift in MRI Radiomics: Predicting MGMT Methylation in Glioblastoma

Feature Learning Dynamics in Infinite-Depth Neural Networks

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants

FOAM: Blocked State Folding for Memory-Efficient LLM Training

StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos

When Diffusion Breaks Constraints: Sequential Autoregressive Generation with RL and MCTS

SpectralTrain: A Universal Framework for Hyperspectral Image Classification

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds

CodeClash: Benchmarking Goal-Oriented Software Engineering

Higher-order Linear Attention

On the Sample Complexity of Differentially Private Policy Optimization

Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

Latent-Augmented Discrete Diffusion Models

VERA-MH Concept Paper

Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation

REAP the Experts: Why Pruning Prevails for One-Shot MoE compression

Semantic knowledge guides innovation and drives cultural evolution

UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning

The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities

Quantitative Certification of Agentic Tool Selection

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions

Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics

GLASS: Global-Local Aggregation for Inference-time Sparsification of LLMs

Exact Verification of Graph Neural Networks with Incremental Constraint Solving

A Markov Categorical Framework for Language Modeling

RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records

Where Do Reasoning Models Refuse?

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing

Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models

T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation

Inclusive, Differentially Private Federated Learning for Clinical Data

Created by

Haebom

저자

Santhosh Parampottupadam, Melih Co\c{s}\u{g}un, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus Maier-Hein

개요

본 논문은 연합 학습(FL)을 활용한 의료 AI 모델 훈련에서 개인정보보호, 자원 제약, 규정 준수와 관련된 문제점을 해결하기 위한 새로운 프레임워크를 제안합니다. 기존의 차등적 개인정보보호(DP) 접근 방식은 균일한 노이즈를 적용하여 성능 저하를 야기하는데 반해, 본 논문에서는 의료기관의 규정 준수 점수에 따라 노이즈를 적응적으로 조정하는 규정 준수 인식 FL 프레임워크를 제시합니다. 또한, 주요 의료 및 보안 표준을 기반으로 하는 규정 준수 점수 도구를 도입하여 다양한 의료 환경에서 안전하고 포괄적이며 공정한 참여를 장려합니다. 공개 데이터셋을 이용한 실험 결과, 자원이 부족하고 규정 준수 수준이 낮은 병원을 규정 준수 수준이 높은 병원과 통합하여 기존 FL보다 최대 15%의 정확도 향상을 달성했습니다. 이 연구는 개인정보보호, 규정 준수 및 성능 간의 균형을 맞춤으로써 전 세계 의료 환경에서 실제 의료 워크플로우에 적용 가능한 FL 솔루션을 제공합니다.