:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yerebakan, Halid Ziya, Valadez, Gerardo Hermosillo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	https://arxiv.org/abs/2507.23609
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2
by: Abdi, Mohamad, et al.
Published: (2024)

Real Time Multi Organ Classification on Computed Tomography Images
by: Yerebakan, Halid Ziya, et al.
Published: (2024)

BodyGPS: Anatomical Positioning System
by: Yerebakan, Halid Ziya, et al.
Published: (2025)

InvarDiff: Cross-Scale Invariance Caching for Accelerated Diffusion Models
by: Wu, Zihao
Published: (2025)

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

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
by: Van Nguyen, Anh, et al.
Published: (2025)

Federated Learning for Diffusion Models
by: Peng, Zihao, et al.
Published: (2025)

Decentralized Diffusion Models
by: McAllister, David, et al.
Published: (2025)

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

Accelerating Distributed ML Training via Selective Synchronization
by: Tyagi, Sahil, et al.
Published: (2023)

CodecSight: Leveraging Video Codec Signals for Efficient Streaming VLM Inference
by: Zou, Yulin, et al.
Published: (2026)

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

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
by: Li, Bo, et al.
Published: (2023)

Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
by: Plumridge, Meghan, et al.
Published: (2024)

I-SplitEE: Image classification in Split Computing DNNs with Early Exits
by: Bajpai, Divya Jyoti, et al.
Published: (2024)

Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
by: Wang, Ruiqi, et al.
Published: (2023)

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

LP-GEMM: Integrating Layout Propagation into GEMM Operations
by: Carneiro, César Guedes, et al.
Published: (2026)

Enhancing Split Computing and Early Exit Applications through Predefined Sparsity
by: Capogrosso, Luigi, et al.
Published: (2024)

FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
by: Quéméneur, Cyprien, et al.
Published: (2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices
by: Li, Sheng, et al.
Published: (2024)

Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
by: Wang, Naibo, et al.
Published: (2024)

PARDON: Privacy-Aware and Robust Federated Domain Generalization
by: Nguyen, Dung Thuy, et al.
Published: (2024)

MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
by: Capogrosso, Luigi, et al.
Published: (2024)

Self-supervised Cross-silo Federated Neural Architecture Search
by: Liang, Xinle, et al.
Published: (2021)

One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
by: Wang, Naibo, et al.
Published: (2024)

FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024)

Ask the Expert: Collaborative Inference for Vision Transformers with Near-Edge Accelerators
by: Liu, Hao, et al.
Published: (2026)

FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
by: Lau, Kin Wai, et al.
Published: (2024)

Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
by: Amalanshu, Avi, et al.
Published: (2024)

Recurrent Early Exits for Federated Learning with Heterogeneous Clients
by: Lee, Royson, et al.
Published: (2024)

Constraint-Aware Execution Planning for Hybrid Space-Ground Compute Workloads
by: Mitra, Subhadip
Published: (2026)

A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
by: Mahmud, Hasanul, et al.
Published: (2024)

A Parallel Workflow for Polar Sea-Ice Classification using Auto-labeling of Sentinel-2 Imagery
by: Iqrah, Jurdana Masuma, et al.
Published: (2024)

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning
by: Armah, Eugene, et al.
Published: (2025)

Minuet: Accelerating 3D Sparse Convolutions on GPUs
by: Yang, Jiacheng, et al.
Published: (2023)

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
by: Chen, Haokun, et al.
Published: (2024)

Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms
by: Sridharan, Shrihari, et al.
Published: (2024)

FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays
by: Ferdaus, Jannatul, et al.
Published: (2024)

Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
by: Amini, Hadi, et al.
Published: (2025)