Image de couverture de livre

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Devkota, Alina, Thrasher, Jacob, Adjeroh, Donald, Bhattarai, Binod, Gyawali, Prashnna K.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
par: Thrasher, Jacob, et autres
Publié: (2024)

Federated Foundation Model for GI Endoscopy Images
par: Devkota, Alina, et autres
Publié: (2025)

Multimodal Federated Learning in Healthcare: a Review
par: Thrasher, Jacob, et autres
Publié: (2023)

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
par: Thrasher, Jacob, et autres
Publié: (2024)

TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
par: Pokhrel, Sandesh, et autres
Publié: (2024)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
par: Ahamed, Rizwan, et autres
Publié: (2025)

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare
par: Chhetri, Aavash, et autres
Publié: (2026)

Investigating Trustworthiness of Nonparametric Deep Survival Models for Alzheimer's Disease Progression Analysis
par: Thrasher, Jacob, et autres
Publié: (2026)

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
par: Poudel, Pranav, et autres
Publié: (2025)

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
par: Chhetri, Anju, et autres
Publié: (2025)

CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
par: Poudel, Pranav, et autres
Publié: (2024)

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
par: Pokhrel, Sandesh, et autres
Publié: (2024)

Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
par: Akash, Ahsan Habib, et autres
Publié: (2025)

SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
par: Nasirihaghighi, Sahar, et autres
Publié: (2025)

FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
par: Yu, Po-Hsien, et autres
Publié: (2025)

Segmentation of Maya hieroglyphs through fine-tuned foundation models
par: Shivam, FNU, et autres
Publié: (2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
par: Fang, Shaoheng, et autres
Publié: (2024)

FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
par: Le, Huy Q., et autres
Publié: (2026)

VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
par: Lim, Byeonggeuk, et autres
Publié: (2026)

AerialVG: A Challenging Benchmark for Aerial Visual Grounding by Exploring Positional Relations
par: Liu, Junli, et autres
Publié: (2025)

PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination
par: Dai, Ming, et autres
Publié: (2025)

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding
par: Li, Haocheng, et autres
Publié: (2026)

SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion
par: Dai, Ming, et autres
Publié: (2024)

VG3T: Visual Geometry Grounded Gaussian Transformer
par: Kim, Junho, et autres
Publié: (2025)

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
par: Pham, Trong Thang, et autres
Publié: (2024)

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
par: Lin, Hui, et autres
Publié: (2025)

GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
par: Zheng, Shurong, et autres
Publié: (2026)

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
par: Lee, Gihun, et autres
Publié: (2023)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
par: Xiang, Yangyang, et autres
Publié: (2024)

VG4D: Vision-Language Model Goes 4D Video Recognition
par: Deng, Zhichao, et autres
Publié: (2024)

FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
par: Reyes-Amezcua, Ivan, et autres
Publié: (2026)

Provably Better Explanations with Optimized Aggregation of Feature Attributions
par: Decker, Thomas, et autres
Publié: (2024)

VC4VG: Optimizing Video Captions for Text-to-Video Generation
par: Du, Yang, et autres
Publié: (2025)

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity
par: Qiao, Yu, et autres
Publié: (2024)

FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation
par: Tan, Min, et autres
Publié: (2026)

FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture
par: Li, Long, et autres
Publié: (2025)

CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems
par: Shivam, Fnu, et autres
Publié: (2025)

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis
par: Che, Haoxuan, et autres
Publié: (2025)

FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images
par: Nagaraju, Sachin Dudda, et autres
Publié: (2025)

Federated Domain Generalization via Prompt Learning and Aggregation
par: Gong, Shuai, et autres
Publié: (2024)