:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Sijie, Wang, Qiang, Shi, Shaohuai
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2511.12056
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training
by: Tan, Xin, et al.
Published: (2025)

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA
by: Ramachandran, Anvitha, et al.
Published: (2026)

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

KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training
by: Zhang, Kai, et al.
Published: (2025)

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

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

Task-Agnostic Federated Learning
by: Yao, Zhengtao, et al.
Published: (2024)

LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System
by: Hu, Shijing, et al.
Published: (2024)

DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
by: Tian, Ye, et al.
Published: (2024)

VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA
by: Wickramasinghe, Sachini, et al.
Published: (2024)

PointSplit: Towards On-device 3D Object Detection with Heterogeneous Low-power Accelerators
by: Park, Keondo, et al.
Published: (2025)

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

CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios
by: Cui, Huan, et al.
Published: (2024)

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

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

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

RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection
by: Shi, Jianrui, et al.
Published: (2025)

RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
by: Sela, Gur-Eyal, et al.
Published: (2025)

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
by: Ding, Chuntao, et al.
Published: (2025)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
by: Lv, Zheqi, et al.
Published: (2022)

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

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

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

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

xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
by: Fang, Jiarui, et al.
Published: (2024)

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

Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
by: Šlapak, Eugen, et al.
Published: (2024)

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

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

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
by: Hwang, Jinwoo, et al.
Published: (2025)

VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
by: Tu, Dezhan, et al.
Published: (2024)

BitPipe: Bidirectional Interleaved Pipeline Parallelism for Accelerating Large Models Training
by: Wu, Houming, et al.
Published: (2024)

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

SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
by: Huang, Jiaming, et al.
Published: (2025)

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

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
by: Dias, Philipe, et al.
Published: (2024)

Parallax: Runtime Parallelization for Operator Fallbacks in Heterogeneous Edge Systems
by: Tang, Chong, et al.
Published: (2025)

Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
by: Tyagi, Sahil, et al.
Published: (2023)

Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks
by: Sung, Mingyu, et al.
Published: (2025)

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