Scalable Data Assimilation with Message Passing
Fuente:
arXiv
Guardado en:
| Autores principales: | Key, Oscar, Takao, So, Giles, Daniel, Deisenroth, Marc Peter |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Biased Estimator for MinMax Sampling and Distributed Aggregation
por: Wolfrath, Joel, et al.
Publicado: (2024)
por: Wolfrath, Joel, et al.
Publicado: (2024)
Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025)
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025)
Sampling-based Distributed Training with Message Passing Neural Network
por: Kakka, Priyesh, et al.
Publicado: (2024)
por: Kakka, Priyesh, et al.
Publicado: (2024)
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
por: Egger, Maximilian, et al.
Publicado: (2024)
por: Egger, Maximilian, et al.
Publicado: (2024)
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
por: Xu, Lei, et al.
Publicado: (2024)
por: Xu, Lei, et al.
Publicado: (2024)
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
por: Zhang, Jiaojiao, et al.
Publicado: (2024)
por: Zhang, Jiaojiao, et al.
Publicado: (2024)
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
por: Huang, Shuo-Chieh, et al.
Publicado: (2023)
por: Huang, Shuo-Chieh, et al.
Publicado: (2023)
A Scalable Digital Twin Framework for Energy Optimization in Data Centers
por: Gonçalves, Raphael Hendrigo de Souza, et al.
Publicado: (2026)
por: Gonçalves, Raphael Hendrigo de Souza, et al.
Publicado: (2026)
Enabling Message Passing Interface Containers on the LUMI Supercomputer
por: Lazzaro, Alfio
Publicado: (2024)
por: Lazzaro, Alfio
Publicado: (2024)
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs
por: Parikh, Dhruv, et al.
Publicado: (2025)
por: Parikh, Dhruv, et al.
Publicado: (2025)
Equivalence and Separation between Heard-Of and Asynchronous Message-Passing Models
por: Attiya, Hagit, et al.
Publicado: (2025)
por: Attiya, Hagit, et al.
Publicado: (2025)
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
por: Du, Zhixu, et al.
Publicado: (2023)
por: Du, Zhixu, et al.
Publicado: (2023)
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
por: Mujtaba, Ahmed, et al.
Publicado: (2025)
por: Mujtaba, Ahmed, et al.
Publicado: (2025)
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
por: Galante, Franco, et al.
Publicado: (2024)
por: Galante, Franco, et al.
Publicado: (2024)
Blockchain-based Framework for Scalable and Incentivized Federated Learning
por: Wu, Bijun, et al.
Publicado: (2025)
por: Wu, Bijun, et al.
Publicado: (2025)
DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
por: Rush, Keith, et al.
Publicado: (2024)
por: Rush, Keith, et al.
Publicado: (2024)
Runtime-Orchestrated Second-Order Optimization for Scalable LLM Training
por: Lu, Yishun, et al.
Publicado: (2026)
por: Lu, Yishun, et al.
Publicado: (2026)
Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
por: Banerjee, Roopkatha, et al.
Publicado: (2025)
por: Banerjee, Roopkatha, et al.
Publicado: (2025)
Federated Learning Framework for Scalable AI in Heterogeneous HPC and Cloud Environments
por: Ghimire, Sangam, et al.
Publicado: (2025)
por: Ghimire, Sangam, et al.
Publicado: (2025)
Grappa: Gradient-Only Communication for Scalable Graph Neural Network Training
por: Xu, Chongyang, et al.
Publicado: (2026)
por: Xu, Chongyang, et al.
Publicado: (2026)
Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
por: Yoon, Daegun, et al.
Publicado: (2024)
por: Yoon, Daegun, et al.
Publicado: (2024)
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
por: Lu, Fred, et al.
Publicado: (2024)
por: Lu, Fred, et al.
Publicado: (2024)
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
por: Zhong, Yinmin, et al.
Publicado: (2025)
por: Zhong, Yinmin, et al.
Publicado: (2025)
Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
por: Barrak, Amine, et al.
Publicado: (2025)
por: Barrak, Amine, et al.
Publicado: (2025)
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
por: Wang, Mengdi, et al.
Publicado: (2025)
por: Wang, Mengdi, et al.
Publicado: (2025)
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology
por: Wu, Yanjie, et al.
Publicado: (2025)
por: Wu, Yanjie, et al.
Publicado: (2025)
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
por: Hu, Tianhao, et al.
Publicado: (2026)
por: Hu, Tianhao, et al.
Publicado: (2026)
AsyncHZP: Hierarchical ZeRO Parallelism with Asynchronous Scheduling for Scalable LLM Training
por: Bai, Huawei, et al.
Publicado: (2025)
por: Bai, Huawei, et al.
Publicado: (2025)
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
por: Wang, Zhengyang, et al.
Publicado: (2025)
por: Wang, Zhengyang, et al.
Publicado: (2025)
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
por: Agarwal, Aarush, et al.
Publicado: (2025)
por: Agarwal, Aarush, et al.
Publicado: (2025)
Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
por: Mishra, Animesh
Publicado: (2025)
por: Mishra, Animesh
Publicado: (2025)
FC-ADL: Efficient Microservice Anomaly Detection and Localisation Through Functional Connectivity
por: Winchester, Giles, et al.
Publicado: (2025)
por: Winchester, Giles, et al.
Publicado: (2025)
Chopin: An Open Source R-language Tool to Support Spatial Analysis on Parallelizable Infrastructure
por: Song, Insang, et al.
Publicado: (2024)
por: Song, Insang, et al.
Publicado: (2024)
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
por: Barwey, Shivam, et al.
Publicado: (2024)
por: Barwey, Shivam, et al.
Publicado: (2024)
cuConv: A CUDA Implementation of Convolution for CNN Inference
por: Jordà, Marc, et al.
Publicado: (2021)
por: Jordà, Marc, et al.
Publicado: (2021)
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
por: Jahani-Nezhad, Tayyebeh, et al.
Publicado: (2024)
por: Jahani-Nezhad, Tayyebeh, et al.
Publicado: (2024)
Empowering Data Mesh with Federated Learning
por: Li, Haoyuan, et al.
Publicado: (2024)
por: Li, Haoyuan, et al.
Publicado: (2024)
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
por: Marisetty, Harsha Varun, et al.
Publicado: (2025)
por: Marisetty, Harsha Varun, et al.
Publicado: (2025)
Governing Cloud Data Pipelines with Agentic AI
por: Kirubakaran, Aswathnarayan Muthukrishnan, et al.
Publicado: (2025)
por: Kirubakaran, Aswathnarayan Muthukrishnan, et al.
Publicado: (2025)
Understanding Silent Data Corruption in LLM Training
por: Ma, Jeffrey, et al.
Publicado: (2025)
por: Ma, Jeffrey, et al.
Publicado: (2025)
Ejemplares similares
-
A Biased Estimator for MinMax Sampling and Distributed Aggregation
por: Wolfrath, Joel, et al.
Publicado: (2024) -
Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025) -
Sampling-based Distributed Training with Message Passing Neural Network
por: Kakka, Priyesh, et al.
Publicado: (2024) -
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
por: Egger, Maximilian, et al.
Publicado: (2024) -
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
por: Xu, Lei, et al.
Publicado: (2024)