Distributed and Cluster Computing

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1,381 to 1,440 of 1,809

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki +4
cs.DCcs.AIcs.CVarXiv:2502.15737v12025
Generalized DBLog: A Verified Contract for Interleaving Copied Rows with a Change Log
Andreas Andreakis
cs.DBcs.DCcs.LOarXiv:2609.08160v42026
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang, Jun Li, Long Shi +5
cs.LGcs.AIcs.DCarXiv:2309.11039v12023
Adaptive Tiling for Least-Squares Phase Unwrapping: Runtime and Accuracy
Antoine Moevus, Max Mignotte
eess.IVcs.CVcs.DCarXiv:2609.28541v12026
Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices
Jiaxiang Geng, Xianhao Chen, Bing Luo
cs.DCarXiv:2609.01457v12026
Efficient Straggler Replication in Large-scale Parallel Computing
Da Wang, Gauri Joshi, Gregory Wornell
cs.DCarXiv:1503.03128v32015
In Cloud, Can Scientific Communities Benefit from the Economies of Scale?
Lei Wang, Jianfeng Zhan, Weisong Shi +1
cs.DCarXiv:1004.1276v12010
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
cs.DCarXiv:1801.05868v12018
Fast Multidimensional Approximate Agreement with Optimal Resilience Using Ball Validity
Tijana Milentijević, Stefan Schmid
cs.DCarXiv:2609.07599v12026
OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on Shared GPU Clusters
Khaled Aljbab, Amine Barrak
cs.DCarXiv:2609.19024v22026
Epistemic Observability in Language Models
Tony Mason, Vaastav Anand
cs.DCcs.AIcs.CLarXiv:2603.20531v22026
From Bracha to Coded MBRB: Benchmarking Byzantine Reliable Broadcast Implementations
Yenan Wang, Jesper Kullberg, Fabian Paglianno Persson +2
cs.DCarXiv:2609.07521v12026
Distributed Stochastic Approximation Algorithms and Heavy-Tailed Age of Information
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
math.OCcs.DCcs.MAarXiv:2609.27499v12026
On Optimal Probabilities in Stochastic Coordinate Descent Methods
Peter Richtárik, Martin Takáč
stat.MLcs.DCmath.OCarXiv:1310.3438v12013
Blockchain Lifecycle Prediction - Dead Coins
Uwe A. Kuehn, Syed Muhammad Adnan
cs.DCarXiv:2610.01379v12026
Performance Analysis of the Raft Consensus Algorithm for Private Blockchains
Dongyan Huang, Xiaoli Ma, Shengli Zhang
cs.NIcs.DCarXiv:1808.01081v12018
Datacenter Traffic Control: Understanding Techniques and Trade-offs
Mohammad Noormohammadpour, Cauligi S. Raghavendra
cs.NIcs.DCcs.PFarXiv:1712.03530v12017
Chebyshev Polynomial Approximation for Distributed Signal Processing
David I Shuman, Pierre Vandergheynst, Pascal Frossard
cs.DCcs.NIarXiv:1105.1891v22011
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You, Jae-Won Chung, Mosharaf Chowdhury
cs.LGcs.AIcs.DCarXiv:2208.06102v22022
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Xiaochen Ma, Zimo Meng, Junzhu Liang +13
cs.DCarXiv:2609.18703v12026
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates
Insu Jang, Zhenning Yang, Zhen Zhang +2
cs.DCcs.LGarXiv:2309.08125v22023
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng, Shiyi Cao, Dacheng Li +9
cs.LGcs.AIcs.DCarXiv:2311.03285v32023
Enigma: Decentralized Computation Platform with Guaranteed Privacy
Guy Zyskind, Oz Nathan, Alex Pentland
cs.CRcs.DCarXiv:1506.03471v12015
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Jingwei Song, Meng Chen, Jie Xiao +15
cs.LGcs.DCarXiv:2602.02192v52026
The Other Half of Workflow Portability: Evidence-Backed HPC Site Profiles with Agentic Discovery
Md Saiful Islam, Douglas Thain
cs.DCcs.IRarXiv:2610.00971v12026
Column-Oriented Storage Techniques for MapReduce
Avrilia Floratou, Jignesh Patel, Eugene Shekita +1
cs.DBcs.DCarXiv:1105.4252v12011
The Impact of Position Errors on Crowd Simulation
Lei Zhang, Diego Lai, Andriy V. Miranskyy
cs.MAcs.DCarXiv:1810.11131v12018
A Survey on Blockchain Interoperability: Past, Present, and Future Trends
Rafael Belchior, André Vasconcelos, Sérgio Guerreiro +1
cs.DCcs.CRarXiv:2005.14282v32020
Unified AI Gateway: A Framework for Joint Model Routing and KV Cache Management
Jiaxun Lu, Xiang Zhang, Yunfeng Shao
cs.DCarXiv:2609.06940v12026
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
cs.NIcs.DCcs.LGarXiv:2308.00852v12023
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant
Qing Yang, Hao Wang, Taotao Wang +3
eess.SYcs.CRcs.DCarXiv:2105.00174v22021
Progressive-Resolution Secure Aggregation for Federated Learning
Seyed Mohammad Azimi-Abarghouyi
cs.CRcs.DCcs.ITarXiv:2610.00695v12026
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism
Jay H. Park, Gyeongchan Yun, Chang M. Yi +5
cs.DCarXiv:2005.14038v12020
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
Bingyang Wu, Shengyu Liu, Yinmin Zhong +3
cs.DCcs.LGarXiv:2404.09526v22024
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim, Minkyu Kim, Dongjoo Seo +9
cs.DCcs.LGstat.MLarXiv:1810.09957v12018
SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought Reasoning
Yujie Zhang, Bin Gao, Tulika Mitra
cs.AIcs.DCarXiv:2608.21614v12026
Ofan: Optimal Load Balancing for AI Training
Sarah McClure, Evyatar Cohen, Jakob Krebs +5
cs.NIcs.DCcs.PFarXiv:2610.07230v12026
A Survey on Big Data for Network Traffic Monitoring and Analysis
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta +2
cs.DCcs.NIarXiv:2003.01648v12020
Mathematical Foundations of the GraphBLAS
Jeremy Kepner, Peter Aaltonen, David Bader +13
cs.MSastro-ph.IMcs.DCarXiv:1606.05790v22016
Design and Operation of a Federated GPU Cluster for Digital Humanities within DHinfra.at
Florian Atzenhofer-Baumgartner, David Fleischhacker, Max Resch +2
cs.DCarXiv:2609.10552v12026
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horvath, Stefanos Laskaridis, Mario Almeida +3
cs.LGcs.DCarXiv:2102.13451v52021
LLM-Based Multi-Agent Collaboration for Constrained Multi-Objective Container Placement
Suvarthi Sarkar, Abhishek Hazra, Akshat Mittal +1
cs.DCarXiv:2610.07030v12026
Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research
Geoffrey C. Fox, Vatche Ishakian, Vinod Muthusamy +1
cs.DCarXiv:1708.08028v12017
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan, Guodong Long, Lu Liu +4
cs.LGcs.DCarXiv:2105.00243v42021
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1
cs.ITcs.DCcs.LGarXiv:2001.10402v22020
Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs
Jinghao Wang, Yifeng Zhang, Xiao Zhou +7
cs.DCarXiv:2609.03335v12026
Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression
Mohammad Mozaffari
cs.AIcs.DCcs.LGarXiv:2608.24070v12026
Benchmarking, Analysis, and Optimization of Serverless Function Snapshots
Dmitrii Ustiugov, Plamen Petrov, Marios Kogias +2
cs.DCarXiv:2101.09355v32021
PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Response
Yueying Li, Jiayang Chen, Yuanfan Chen +5
cs.DCcs.AIarXiv:2608.21719v12026
ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot +24
physics.data-ancs.DCarXiv:1508.07749v12015
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri +6
cs.DCarXiv:2104.13869v12021
Iapetus: Content-Aware Hierarchical Scheduling for Collaborative ViT Inference in LEO Satellite Networks
Yan Chen, Yunxiang Zhang, Guanjun Jiang +1
cs.DCarXiv:2609.03318v12026
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems
Junwei Yu, Yepeng Ding, Hiroyuki Sato
cs.MAcs.AIcs.DCarXiv:2503.07675v22025
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
cs.LGcs.DCstat.MLarXiv:2007.09712v12020
rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment
Lars Simon Zehnder
cs.LGcs.DCcs.PFarXiv:2608.17641v22026
MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs
Youssef Ennouri, Soonhoi Ha
cs.DCcs.AIarXiv:2609.02109v12026
Adaptive Federated Optimization
Sashank Reddi, Zachary Charles, Manzil Zaheer +5
cs.LGcs.DCmath.OCarXiv:2003.00295v52020
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Hamed Haddadi, Kleomenis Katevas +3
cs.CRcs.DCcs.LGarXiv:2104.14380v22021
Blockchain Consensus Protocols in the Wild
Christian Cachin, Marko Vukolić
cs.DCarXiv:1707.01873v22017
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
Jianguo Chen, Kenli Li, Zhuo Tang +4
cs.DCarXiv:1810.07748v12018

Distributed and Cluster Computing

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

Generalized DBLog: A Verified Contract for Interleaving Copied Rows with a Change Log

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

Adaptive Tiling for Least-Squares Phase Unwrapping: Runtime and Accuracy

Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices

Efficient Straggler Replication in Large-scale Parallel Computing

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

Fast Multidimensional Approximate Agreement with Optimal Resilience Using Ball Validity

OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on Shared GPU Clusters

Epistemic Observability in Language Models

From Bracha to Coded MBRB: Benchmarking Byzantine Reliable Broadcast Implementations

Distributed Stochastic Approximation Algorithms and Heavy-Tailed Age of Information

On Optimal Probabilities in Stochastic Coordinate Descent Methods

Blockchain Lifecycle Prediction - Dead Coins

Performance Analysis of the Raft Consensus Algorithm for Private Blockchains

Datacenter Traffic Control: Understanding Techniques and Trade-offs

Chebyshev Polynomial Approximation for Distributed Signal Processing

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Enigma: Decentralized Computation Platform with Guaranteed Privacy

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

The Other Half of Workflow Portability: Evidence-Backed HPC Site Profiles with Agentic Discovery

Column-Oriented Storage Techniques for MapReduce

The Impact of Position Errors on Crowd Simulation

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Unified AI Gateway: A Framework for Joint Model Routing and KV Cache Management

CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters

Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

Progressive-Resolution Secure Aggregation for Federated Learning

HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism

NSML: Meet the MLaaS platform with a real-world case study

SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought Reasoning

Ofan: Optimal Load Balancing for AI Training

A Survey on Big Data for Network Traffic Monitoring and Analysis

Mathematical Foundations of the GraphBLAS

Design and Operation of a Federated GPU Cluster for Digital Humanities within DHinfra.at

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

LLM-Based Multi-Agent Collaboration for Constrained Multi-Objective Container Placement

Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research

FedProto: Federated Prototype Learning across Heterogeneous Clients

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge

Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs

Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Response

ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization

Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications

Iapetus: Content-Aware Hierarchical Scheduling for Collaborative ViT Inference in LEO Satellite Networks

DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment

MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs

Adaptive Federated Optimization

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

Blockchain Consensus Protocols in the Wild

A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment