Copertina

Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jansen, Victor Forattini, Martins, Emanuel Teixeira, Lima, Yasmin Souza, Silva, Flavio de Oliveira, Moreira, Rodrigo, Moreira, Larissa Ferreira Rodrigues
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks
di: da Silva, Bruno Marques, et al.
Pubblicazione: (2025)

Enabling Seamless Data Security, Consensus, and Trading in Vehicular Networks
di: Vieira, Emanuel, et al.
Pubblicazione: (2024)

Distributed Retrieval-Augmented Generation
di: Xu, Chenhao, et al.
Pubblicazione: (2025)

H-MBR: Hypervisor-level Memory Bandwidth Reservation for Mixed Criticality Systems
di: Oliveira, Afonso, et al.
Pubblicazione: (2025)

Big Data Architecture for Large Organizations
di: Ismail, Fathima Nuzla, et al.
Pubblicazione: (2025)

Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software
di: Samsi, Siddharth, et al.
Pubblicazione: (2025)

Self-Evolving Distributed Memory Architecture for Scalable AI Systems
di: Li, Zixuan, et al.
Pubblicazione: (2026)

SP-IMPact: A Framework for Static Partitioning Interference Mitigation and Performance Analysis
di: Costa, Diogo, et al.
Pubblicazione: (2025)

Optimizing CDN Architectures: Multi-Metric Algorithmic Breakthroughs for Edge and Distributed Performance
di: Absur, Md Nurul, et al.
Pubblicazione: (2024)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
di: Pan, Haochen, et al.
Pubblicazione: (2024)

Joint Temporal-Structural Representation Learning for Distributed Fault Discrimination in Microservice Architectures
di: Xue, Yihan, et al.
Pubblicazione: (2026)

GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
di: Barik, Reet, et al.
Pubblicazione: (2024)

Modular Architecture for High-Performance and Low Overhead Data Transfers
di: Swargo, Rasman Mubtasim, et al.
Pubblicazione: (2025)

Distributed and Autonomic Minimum Spanning Trees
di: Rodrigues, Luiz A., et al.
Pubblicazione: (2025)

Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO
di: Svedas, Jonas, et al.
Pubblicazione: (2026)

Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views
di: Brock, Benjamin, et al.
Pubblicazione: (2024)

Highly Dynamic and Fully Distributed Data Structures
di: Augustine, John, et al.
Pubblicazione: (2024)

An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
di: Kargar-Barzi, Amin, et al.
Pubblicazione: (2023)

A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts
di: Dobashi, Masaru, et al.
Pubblicazione: (2025)

Xorbits: Automating Operator Tiling for Distributed Data Science
di: Lu, Weizheng, et al.
Pubblicazione: (2023)

Data Management System Analysis for Distributed Computing Workloads
di: Hsu, Kuan-Chieh, et al.
Pubblicazione: (2025)

LOG.io: Unified Rollback Recovery and Data Lineage Capture for Distributed Data Pipelines
di: Simon, Eric, et al.
Pubblicazione: (2025)

How to Evaluate Distributed Coordination Systems? -- A Survey and Analysis
di: Turkkan, Bekir, et al.
Pubblicazione: (2024)

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
di: George, Anjus, et al.
Pubblicazione: (2025)

Performance Characterization of Distributed Deep Learning Strategies: A Quantitative Evaluation of DDP, FSDP, and Parameter Server Architectures on GPU Clusters
di: Ovi, Md Sultanul Islam
Pubblicazione: (2025)

Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
di: Attenni, Giulio, et al.
Pubblicazione: (2025)

DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions
di: Zhang, Hongliang, et al.
Pubblicazione: (2025)

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
di: Bouvier, Thomas, et al.
Pubblicazione: (2024)

LSKV: A Confidential Distributed Datastore to Protect Critical Data in the Cloud
di: Jeffery, Andrew, et al.
Pubblicazione: (2024)

A Study on the Performance of Distributed Training of Data-driven CFD Simulations
di: Iserte, Sergio, et al.
Pubblicazione: (2026)

Distributed Download from an External Data Source in Asynchronous Faulty Settings
di: Augustine, John, et al.
Pubblicazione: (2025)

Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
di: Zhao, Hailiang, et al.
Pubblicazione: (2024)

A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator
di: Bostandoost, Roozbeh, et al.
Pubblicazione: (2025)

Exploring the Landscape of Distributed Graph Sketching
di: Tench, David, et al.
Pubblicazione: (2024)

FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
di: Zhu, Zhuoran, et al.
Pubblicazione: (2025)

Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges
di: Stavrinides, Georgios L., et al.
Pubblicazione: (2025)

Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale
di: Mittal, Kashish, et al.
Pubblicazione: (2026)

DeFT: Mitigating Data Dependencies for Flexible Communication Scheduling in Distributed Training
di: Meng, Lin, et al.
Pubblicazione: (2025)

SafarDB: FPGA-Accelerated Distributed Transactions via Replicated Data Types
di: Saberlatibari, Javad, et al.
Pubblicazione: (2026)

Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training
di: Wang, Kewei, et al.
Pubblicazione: (2025)