Cover Image

Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amalanshu, Avi, Nagaswamy, Viswesh, Prudhvi, G. V. S. S., Sirvi, Yash, Chakravarty, Debashish
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
by: Amalanshu, Avi, et al.
Published: (2024)

Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
by: Yu, Chong, et al.
Published: (2024)

RServe: Overlapping Encoding and Prefill for Efficient LMM Inference
by: Guo, Tianyu, et al.
Published: (2025)

WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024)

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning
by: Parikh, Dhruv, et al.
Published: (2025)

EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
by: Wu, Di, et al.
Published: (2023)

TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives
by: Zheng, Size, et al.
Published: (2025)

Syncopate: Efficient Multi-GPU AI Kernels via Automatic Chunk-Centric Compute-Communication Overlap
by: Qiang, Xinwei, et al.
Published: (2026)

Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
by: Das, Anirban, et al.
Published: (2021)

Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism
by: Li, Shengwei, et al.
Published: (2023)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
by: Will, Jonathan, et al.
Published: (2025)

Partition Detection in Byzantine Networks
by: Bromberg, Yérom-David, et al.
Published: (2024)

CO2: Efficient Distributed Training with Full Communication-Computation Overlap
by: Sun, Weigao, et al.
Published: (2024)

Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation
by: Yeghiazaryan, Varduhi, et al.
Published: (2024)

Persistent and Partitioned MPI for Stencil Communication
by: Collom, Gerald, et al.
Published: (2025)

Incidence Constraints in Hypergraph Partitioning on GPU
by: Ronzani, Marco, et al.
Published: (2026)

The Carnot Bound: Limits and Possibilities for Bandwidth-Efficient Consensus
by: Lewis-Pye, Andrew, et al.
Published: (2026)

Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training
by: Xu, Guanbin, et al.
Published: (2026)

Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation
by: Zhu, Ying, et al.
Published: (2025)

A Distributed Partitioning Software and its Applications
by: Sasidharan, Aparna
Published: (2025)

Cooperative Inference with Interleaved Operator Partitioning for CNNs
by: Liu, Zhibang, et al.
Published: (2024)

Deterministic Parallel High-Quality Hypergraph Partitioning
by: Krause, Robert, et al.
Published: (2025)

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler
by: Zheng, Size, et al.
Published: (2025)

Collaborative Inference Acceleration with Non-Penetrative Tensor Partitioning
by: Liu, Zhibang, et al.
Published: (2025)

Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
by: Jansen, Victor Forattini, et al.
Published: (2026)

PMU-based Distributed Non-iterative Algorithm for Real-time Voltage Stability Monitoring
by: Guddanti, Kishan Prudhvi, et al.
Published: (2019)

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
by: Lee, Seonho, et al.
Published: (2025)

Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints
by: Ronzani, Marco, et al.
Published: (2026)

Personalized Federated Learning on Data with Dynamic Heterogeneity under Limited Storage
by: Tan, Sixing, et al.
Published: (2024)

Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
by: Vivek, Yelleti, et al.
Published: (2022)

Efficient CPU-GPU Collaborative Inference for MoE-based LLMs on Memory-Limited Systems
by: Huang, En-Ming, et al.
Published: (2025)

Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
by: Schieffer, Gabin, et al.
Published: (2026)

Where to Split? A Pareto-Front Analysis of DNN Partitioning for Edge Inference
by: Masud, Adiba, et al.
Published: (2026)

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)

Vertical Atomic Broadcast and Passive Replication (Extended Version)
by: Bravo, Manuel, et al.
Published: (2024)

MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms
by: Duan, Jiaang, et al.
Published: (2024)

Uniform Partitioning of a Bounded Region using Opaque ASYNC Luminous Mobile Robots
by: Pramanick, Subhajit, et al.
Published: (2023)

Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps
by: Arima, Eishi, et al.
Published: (2024)

SwarmRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments
by: Dev, Kapel, et al.
Published: (2025)

Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
by: Tang, Zichen, et al.
Published: (2024)