Distributed and Cluster Computing

Papers filed under cs.DC on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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541 to 600 of 1,072

ENORM: A Framework For Edge NOde Resource Management
Nan Wang, Blesson Varghese, Michail Matthaiou +1
cs.DCarXiv:1709.04061v12017
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Roy H. Campbell
cs.DCcs.LGcs.PFarXiv:1803.03288v22018
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
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, Yao Fu +4
cs.CLcs.AIcs.DCarXiv:2402.01739v22024
Summaries:简体中文
Shared-Memory Range-Tiled CDF Sort for Small-Range Integer Keys on GPUs
Kento Ando, Kaito Takase, Noriyuki Fujimoto +1
cs.DCarXiv:2609.00843v12026
BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs
Yanliang Li, Qian Gong, Qing Liu +5
cs.DCarXiv:2609.00205v12026
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15
cs.DCarXiv:2212.04645v12022
Infrastructure Resilience Curves: Performance Measures and Summary Metrics
Craig Poulin, Michael Kane
cs.DCarXiv:2102.01009v22021
Engineering Multilevel Graph Partitioning Algorithms
Peter Sanders, Christian Schulz
cs.DScs.DCarXiv:1012.0006v32010
SharPer: Sharding Permissioned Blockchains Over Network Clusters
Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi
cs.DBcs.DCarXiv:1910.00765v22019
Interference Alignment in Regenerating Codes for Distributed Storage: Necessity and Code Constructions
Nihar B. Shah, K. V. Rashmi, P. Vijay Kumar +1
cs.ITcs.DCcs.NIarXiv:1005.1634v32010
Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
Jie Lu, Choon Yik Tang
eess.SYcs.DCmath.OCarXiv:1104.5422v32011
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun, Zitao Li, Yaliang Li +1
cs.LGcs.CRcs.DCarXiv:2403.12313v12024
Projection-Free Bandit Online Optimization for Multi-Agent Systems with Dynamic Regret
Xia Jiang, Lu Liu, Gang Feng
cs.DCarXiv:2608.30159v12026
DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng, Xiang Song, Chao Ma +6
cs.DCarXiv:2004.08532v12020
R-Storm: Resource-Aware Scheduling in Storm
Boyang Peng, Mohammad Hosseini, Zhihao Hong +2
cs.DCcs.NIcs.PFarXiv:1904.05456v12019
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding
Keisuke Okumura, Manao Machida, Xavier Défago +1
cs.MAcs.DCcs.ROarXiv:1901.11282v52019
COSMOS: Coordination of High-Level Synthesis and Memory Optimization for Hardware Accelerators
Luca Piccolboni, Paolo Mantovani, Giuseppe Di Guglielmo +1
cs.DCarXiv:1912.10823v12019
HotStuff: BFT Consensus in the Lens of Blockchain
Maofan Yin, Dahlia Malkhi, Michael K. Reiter +2
cs.DCarXiv:1803.05069v62018
Motivating Workers in Federated Learning: A Stackelberg Game Perspective
Yunus Sarikaya, Ozgur Ercetin
cs.DCarXiv:1908.03092v12019
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla +1
cs.CVcs.DCcs.NEarXiv:1609.04453v12016
0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit
Thomas Häner, Damian S. Steiger
quant-phcs.DCcs.ETarXiv:1704.01127v22017
funcX: A Federated Function Serving Fabric for Science
Ryan Chard, Yadu Babuji, Zhuozhao Li +5
cs.DCarXiv:2005.04215v12020
FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments
Paola G. Vinueza Naranjo, Zahra Pooranian, Mohammad Shojafar +2
cs.DCcs.NIarXiv:1710.01801v12017
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta +1
cs.LGcs.DCstat.MLarXiv:1909.09145v12019
Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments
Aydin Buluc, John Gilbert
cs.DCcs.MScs.PFarXiv:1109.3739v22011
On Nonconvex Decentralized Gradient Descent
Jinshan Zeng, Wotao Yin
math.OCcs.DCcs.MAarXiv:1608.05766v42016
Polylogarithmic-Time Deterministic Network Decomposition and Distributed Derandomization
Václav Rozhoň, Mohsen Ghaffari
cs.DScs.DCcs.DMarXiv:1907.10937v22019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
Ruben Mayer, Hans-Arno Jacobsen
cs.DCcs.AIarXiv:1903.11314v22019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas +1
cs.LGcs.DCmath.OCarXiv:1910.00643v22019
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
cs.LGcs.DCstat.MLarXiv:2008.12161v22020
Fast Distributed Inference Serving for Large Language Models
Bingyang Wu, Yinmin Zhong, Zili Zhang +6
cs.LGcs.DCarXiv:2305.05920v32023
EdgeChain: An Edge-IoT Framework and Prototype Based on Blockchain and Smart Contracts
Jianli Pan, Jianyu Wang, Austin Hester +3
cs.DCcs.CRcs.NIarXiv:1806.06185v12018
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs
Sunil K. Narang, Antonio Ortega
cs.ITcs.DCarXiv:1210.8129v22012
Beating Quadratic Time--Message Trade-off in Distributed Minimum Spanning Tree Construction
Taisuke Izumi, Naoki Kitamura, Toshimitsu Masuzawa
cs.DScs.DCarXiv:2608.30299v12026
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu, Jingyan Jiang, Zhi Wang
cs.LGcs.DCcs.NIarXiv:1908.07782v12019
Efficient System-Enforced Deterministic Parallelism
Amittai Aviram, Shu-Chun Weng, Sen Hu +1
cs.OScs.DCarXiv:1005.3450v12010
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han, Shiqiang Wang, Kin K. Leung
cs.LGcs.DCmath.OCarXiv:2001.04756v32020
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton +2
cs.LGcs.CRcs.DCarXiv:2308.10407v22023
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi +1
cs.LGcs.DCstat.MLarXiv:1910.13598v22019
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
Shenggui Li, Hongxin Liu, Zhengda Bian +5
cs.LGcs.AIcs.CLarXiv:2110.14883v32021
Architecture and Security of SCADA Systems: A Review
Geeta Yadav, Kolin Paul
cs.CRcs.DCarXiv:2001.02925v12020
Cost-Effective Federated Learning Design
Bing Luo, Xiang Li, Shiqiang Wang +2
cs.LGcs.DCcs.NIarXiv:2012.08336v12020
Model Predictive Path Integral Control using Covariance Variable Importance Sampling
Grady Williams, Andrew Aldrich, Evangelos Theodorou
eess.SYcs.DCcs.ROarXiv:1509.01149v32015
CLASP: Chained-Request-Aware Scaling and Operator Placement for Serverless Stream Processing
Tianyu Qi, Maria A. Rodriguez, Rajkumar Buyya
cs.DCarXiv:2608.29103v12026
Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines
Xue Qin, Simin Luan, Cong Yang +1
cs.SEcs.DCarXiv:2609.00406v12026
Communication-efficient distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah +3
cs.LGcs.DCmath.OCarXiv:1903.04488v32019
Adding Concurrency to Smart Contracts
Thomas Dickerson, Paul Gazzillo, Maurice Herlihy +1
cs.DCarXiv:1702.04467v12017
SWIM: A Simple Model to Generate Small Mobile Worlds
Alessandro Mei, Julinda Stefa
cs.DCcs.NIarXiv:0809.2730v22008
Fast Clustering using MapReduce
Alina Ene, Sungjin Im, Benjamin Moseley
cs.DCcs.DSarXiv:1109.1579v12011
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
stat.MLcs.DCcs.LGarXiv:1909.05125v12019
Silent Data Corruptions at Scale
Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon +4
cs.ARcs.DCarXiv:2102.11245v12021
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan +6
cs.DCcs.AIarXiv:2012.10557v12020
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao +1
cs.DCcs.LGeess.SYarXiv:1509.02597v22015
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
Guangyao Zhou, Wenhong Tian, Rajkumar Buyya +2
cs.DCarXiv:2105.04086v22021
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
Bingbing Li, Santosh Pandey, Haowen Fang +7
cs.DCcs.LGarXiv:2007.08563v12020
Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces
Andrei Costin, Apostolis Zarras, Aurélien Francillon
cs.CRcs.DCcs.NIarXiv:1511.03609v12015
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
Marcin Copik, Grzegorz Kwasniewski, Maciej Besta +2
cs.DCarXiv:2012.14132v22020
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang, Song Guo, Xin Xie +1
cs.CVcs.CRcs.DCarXiv:2110.11794v32021
Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds
Philipp Leitner, Juergen Cito
cs.DCarXiv:1411.2429v22014

Distributed and Cluster Computing

ENORM: A Framework For Edge NOde Resource Management

TicTac: Accelerating Distributed Deep Learning with Communication Scheduling

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

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Shared-Memory Range-Tiled CDF Sort for Small-Range Integer Keys on GPUs

BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs

AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions

Infrastructure Resilience Curves: Performance Measures and Summary Metrics

Engineering Multilevel Graph Partitioning Algorithms

SharPer: Sharding Permissioned Blockchains Over Network Clusters

Interference Alignment in Regenerating Codes for Distributed Storage: Necessity and Code Constructions

Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case

Improving LoRA in Privacy-preserving Federated Learning

Projection-Free Bandit Online Optimization for Multi-Agent Systems with Dynamic Regret

DGL-KE: Training Knowledge Graph Embeddings at Scale

R-Storm: Resource-Aware Scheduling in Storm

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding

COSMOS: Coordination of High-Level Synthesis and Memory Optimization for Hardware Accelerators

HotStuff: BFT Consensus in the Lens of Blockchain

Motivating Workers in Federated Learning: A Stackelberg Game Perspective

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning

0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit

funcX: A Federated Function Serving Fabric for Science

FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments

Detailed comparison of communication efficiency of split learning and federated learning

Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments

On Nonconvex Decentralized Gradient Descent

Polylogarithmic-Time Deterministic Network Decomposition and Distributed Derandomization

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Collaborative Fairness in Federated Learning

Fast Distributed Inference Serving for Large Language Models

EdgeChain: An Edge-IoT Framework and Prototype Based on Blockchain and Smart Contracts

Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs

Beating Quadratic Time--Message Trade-off in Distributed Minimum Spanning Tree Construction

Decentralized Federated Learning: A Segmented Gossip Approach

Efficient System-Enforced Deterministic Parallelism

Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

Architecture and Security of SCADA Systems: A Review

Cost-Effective Federated Learning Design

Model Predictive Path Integral Control using Covariance Variable Importance Sampling

CLASP: Chained-Request-Aware Scaling and Operator Placement for Serverless Stream Processing

Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines

Communication-efficient distributed SGD with Sketching

Adding Concurrency to Smart Contracts

SWIM: A Simple Model to Generate Small Mobile Worlds

Fast Clustering using MapReduce

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

Silent Data Corruptions at Scale

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions

FTRANS: Energy-Efficient Acceleration of Transformers using FPGA

Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces

SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing

Federated Unlearning via Class-Discriminative Pruning

Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds