Self-supervised Cross-silo Federated Neural Architecture Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Xinle, Liu, Yang, Luo, Jiahuan, He, Yuanqin, Chen, Tianjian, Yang, Qiang
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Machine Learning Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation
di: Tan, Xinyi, et al.
Pubblicazione: (2025)

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
di: Ma, Yufei, et al.
Pubblicazione: (2025)

Federated Learning for Medical Image Classification: A Comprehensive Benchmark
di: Zhou, Zhekai, et al.
Pubblicazione: (2025)

Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style
di: Yang, Yuewei, et al.
Pubblicazione: (2022)

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
di: Kang, Yan, et al.
Pubblicazione: (2022)

Multi-modal video data-pipelines for machine learning with minimal human supervision
di: Pîrvu, Mihai-Cristian, et al.
Pubblicazione: (2025)

DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models
di: Zhang, Hanwen, et al.
Pubblicazione: (2026)

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
di: Chen, Silin, et al.
Pubblicazione: (2025)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
di: Guo, Zhuoning, et al.
Pubblicazione: (2024)

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
di: Kim, Taehyeon, et al.
Pubblicazione: (2023)

Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare
di: Tupper, Adam, et al.
Pubblicazione: (2025)

COALA: A Practical and Vision-Centric Federated Learning Platform
di: Zhuang, Weiming, et al.
Pubblicazione: (2024)

Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
di: Bujotzek, Markus R., et al.
Pubblicazione: (2024)

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction
di: Zhang, Jinxiao, et al.
Pubblicazione: (2026)

FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology
di: Peng, Yuanzhe, et al.
Pubblicazione: (2024)

CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication
di: Wazzeh, Mohamad, et al.
Pubblicazione: (2024)

FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
di: Dehaghi, Ali Mollaahmadi, et al.
Pubblicazione: (2025)

Cross-architecture universal feature coding via distribution alignment
di: Gao, Changsheng, et al.
Pubblicazione: (2025)

Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation
di: Cherukuri, Komala Subramanyam, et al.
Pubblicazione: (2025)

Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
di: Min, Chulhong, et al.
Pubblicazione: (2024)

Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
di: Amgain, Sanskar, et al.
Pubblicazione: (2024)

Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
di: Fiszer, Jan, et al.
Pubblicazione: (2025)

Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
di: Paxton, Kuniko, et al.
Pubblicazione: (2025)

Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
di: Gupta, Riya, et al.
Pubblicazione: (2025)

ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
di: Siomos, Vasilis, et al.
Pubblicazione: (2023)

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
di: Tasneem, Zaid, et al.
Pubblicazione: (2024)

Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm
di: Yang, Qiming, et al.
Pubblicazione: (2024)

Real-Time Video Generation with Pyramid Attention Broadcast
di: Zhao, Xuanlei, et al.
Pubblicazione: (2024)

OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications
di: Bharadwaj, Sagar, et al.
Pubblicazione: (2025)

Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
di: Zhang, XiuYu, et al.
Pubblicazione: (2024)

Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
di: Gorbett, Matt, et al.
Pubblicazione: (2023)

SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs
di: Yang, Jiacheng, et al.
Pubblicazione: (2026)

STADI: Fine-Grained Step-Patch Diffusion Parallelism for Heterogeneous GPUs
di: Liang, Han, et al.
Pubblicazione: (2025)

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training
di: Khan, Bostan, et al.
Pubblicazione: (2026)

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation
di: Chen, Yukang, et al.
Pubblicazione: (2026)

Self-Organizing Edge Computing Distribution Framework for Visual SLAM
di: Kalliola, Jussi, et al.
Pubblicazione: (2025)

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation
di: He, Xiaoxiao, et al.
Pubblicazione: (2025)

Task-Agnostic Federated Learning
di: Yao, Zhengtao, et al.
Pubblicazione: (2024)

Federated Learning for Diffusion Models
di: Peng, Zihao, et al.
Pubblicazione: (2025)

A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices
di: Li, Yunzhe, et al.
Pubblicazione: (2024)