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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181 to 240 of 1,072

Split Learning in 6G Edge Networks
Zheng Lin, Guanqiao Qu, Xianhao Chen +1
cs.LGcs.DCcs.NIarXiv:2306.12194v32023
Dissecting the Graphcore IPU Architecture via Microbenchmarking
Zhe Jia, Blake Tillman, Marco Maggioni +1
cs.DCcs.ARcs.PFarXiv:1912.03413v12019
Diamond Agent: Agentic Control of Federated HPC Resources as a Service
Haotian Xie, Junlin Chen, Mingkai Zheng +9
cs.DCcs.AIarXiv:2609.06181v12026
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng +3
cs.LGcs.DCcs.PFarXiv:1903.05898v32019
Summaries:한국어
Chebyshev Polynomial Approximation for Distributed Signal Processing
David I Shuman, Pierre Vandergheynst, Pascal Frossard
cs.DCcs.NIarXiv:1105.1891v22011
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan, Wenhong Tian, Rajkumar Buyya
cs.DCcs.LGarXiv:2105.05079v12021
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia +9
cs.ROcs.CVcs.DCarXiv:1410.2167v22014
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.DCcs.LGarXiv:2102.01854v42021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
Stefano Savazzi, Monica Nicoli, Mehdi Bennis +2
cs.LGcs.DCarXiv:2101.03367v22021
Slotted ALOHA on LoRaWAN - Design, Analysis, and Deployment
Tommaso Polonelli, Davide Brunelli, Achille Marzocchi +1
cs.NIcs.DCarXiv:1902.09468v12019
6G White Paper on Edge Intelligence
Ella Peltonen, Mehdi Bennis, Michele Capobianco +16
cs.DCcs.AIcs.NIarXiv:2004.14850v12020
Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench
Jonathan W. Morris, Ionut Mistreanu, Connor Louie
cs.PFcs.DCcs.LGarXiv:2609.05418v12026
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang +3
cs.DCarXiv:1812.10027v12018
Interference Alignment as a Rank Constrained Rank Minimization
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
cs.ITcs.DCcs.NIarXiv:1010.0476v32010
The 2M Multiplication Algorithm for Complex Matrices
Peter Caday
cs.DCmath.NAarXiv:2609.05419v12026
Toward a Formally Verified Optimality Certificate for OGR(29): A SAT-Encoding Methods Note with Small-Case Demos
Tong Niu
cs.DCmath.COarXiv:2609.05421v12026
Sustained 70B-Class AWQ Inference on a Single NVIDIA L20: Throughput, Stability, Energy, and Quality Characterization
Yin Li
cs.DCarXiv:2609.05420v12026
In Cloud, Can Scientific Communities Benefit from the Economies of Scale?
Lei Wang, Jianfeng Zhan, Weisong Shi +1
cs.DCarXiv:1004.1276v12010
Measurement-Driven Diagnosis and Mitigation of Host-CPU Co-location Interference in Single-GPU LLM Serving on a Multi-GPU Server
Guanjie Cheng, Guowei Li, Yingying Wen +3
cs.DCarXiv:2609.05425v12026
STORE: Self-Provisioning Storage-as-a-Service for Serverless Functions
Florian Trimmel, Cynthia Marcelino, Thomas Pusztai +1
cs.DCarXiv:2609.05422v12026
Research on Intra-Chip Fusion Deployment and Optimization of Embodied Intelligence Business Operator NPU
Yuchen Zhu, Longxiang Yin, Wanyu Wang +10
cs.DCarXiv:2609.05424v12026
Grid Checkpointing: an Innovative Rollback Support for Speculative Simulation
Andrea Mazzucchi
cs.DCarXiv:2609.05428v12026
Beyond Lemma Sharing -- Novel Parallelization Strategies for Property Directed Reachability
Verner Vlačić
cs.DCcs.LOcs.PLarXiv:2609.05426v12026
Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Andrija Stanisic, Milos Gravara, Juan Luis Herrera +1
cs.DCarXiv:2609.05427v12026
Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions
Gabriele Ceccolini, Federico Ficarelli, Filippo Barbari +2
cs.DCarXiv:2609.05429v12026
Towards Decentralized Registries for Assets Metadata Information
Thomas Hardjono, Alexander Lipton
cs.DCcs.CRarXiv:2609.05430v12026
COAST: Congestion-Aware Start-Time Recommendations for Carbon-Aware HPC Jobs
Weibin Feng, Abhishek Dasgupta, Zeynep Duygu Tekler +3
cs.DCcs.GTarXiv:2609.05443v12026
Improving Distributed Gradient Descent Using Reed-Solomon Codes
Wael Halbawi, Navid Azizan-Ruhi, Fariborz Salehi +1
cs.ITcs.DCarXiv:1706.05436v12017
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
Ao Wang, Shuai Chang, Huangshi Tian +5
cs.DCarXiv:2105.11229v32021
OHIE: Blockchain Scaling Made Simple
Haifeng Yu, Ivica Nikolic, Ruomu Hou +1
cs.DCarXiv:1811.12628v32018
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing, Qirong Ho, Pengtao Xie +1
stat.MLcs.DCcs.LGarXiv:1512.09295v12015
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai, Yujing Chen, Ali Anwar +3
cs.DCcs.LGcs.NIarXiv:2010.05958v22020
Algebraic Methods in the Congested Clique
Keren Censor-Hillel, Petteri Kaski, Janne H. Korhonen +3
cs.DCcs.DSarXiv:1503.04963v12015
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin Md, Sanchit Misra, Guixiang Ma +6
cs.LGcs.DCarXiv:2104.06700v32021
Distributionally Robust Federated Averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
cs.LGcs.DCstat.MLarXiv:2102.12660v12021
Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training
Zili Wang, Zhaopeng Qiu, Yuekai Zhang +2
cs.LGcs.DCarXiv:2609.07108v12026
An Overview of the Commercial Cloud Monitoring Tools: Research Dimensions, Design Issues, and State-of-the-Art
Khalid Alhamazani, Rajiv Ranjan, Karan Mitra +4
cs.DCarXiv:1312.6170v12013
Edge-Fog Cloud: A Distributed Cloud for Internet of Things Computations
Nitinder Mohan, Jussi Kangasharju
cs.DCarXiv:1702.06335v22017
Survey of Machine Learning Accelerators
Albert Reuther, Peter Michaleas, Michael Jones +3
cs.DCcs.LGarXiv:2009.00993v12020
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo +4
cs.LGcs.CLcs.DCarXiv:2102.07988v22021
A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
cs.DCcs.LGarXiv:1901.04359v22019
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Moming Duan, Duo Liu, Xinyuan Ji +4
cs.LGcs.DCarXiv:2108.09749v12021
The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines
Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, David García-Soriano +2
cs.DCarXiv:1504.00788v12015
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
Yujeong Choi, Minsoo Rhu
cs.DCcs.LGcs.NEarXiv:1909.04548v12019
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki +1
cs.LGcs.CRcs.DCarXiv:1705.08435v22017
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore
Jun Rao, Eugene J. Shekita, Sandeep Tata
cs.DBcs.DCarXiv:1103.2408v12011
Decentralized Federated Learning: Balancing Communication and Computing Costs
Wei Liu, Li Chen, Wenyi Zhang
cs.LGcs.DCarXiv:2107.12048v42021
Clio: A Hardware-Software Co-Designed Disaggregated Memory System
Zhiyuan Guo, Yizhou Shan, Xuhao Luo +2
cs.DCarXiv:2108.03492v32021
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
Georgios Politis, Evangelos Pappas
cs.CRcs.DCcs.LGarXiv:2609.04382v12026
Coded MapReduce
Songze Li, Mohammad Ali Maddah-Ali, A. Salman Avestimehr
cs.DCcs.ITarXiv:1512.01625v12015
Parallel Selective Algorithms for Big Data Optimization
Francisco Facchinei, Gesualdo Scutari, Simone Sagratella
cs.DCcs.ITmath.NAarXiv:1402.5521v52014
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions
Prateeksha Varshney, Yogesh Simmhan
cs.DCarXiv:1702.06331v12017
Online Placement of Multi-Component Applications in Edge Computing Environments
Shiqiang Wang, Murtaza Zafer, Kin K. Leung
cs.DCcs.DScs.NIarXiv:1605.08023v22016
Automated Synthesis of Cloud Emulators
Archit Bhatnagar, Zhenning Yang, Sarah McClure +3
cs.SEcs.AIcs.DCarXiv:2608.23842v12026
Federated Reconstruction: Partially Local Federated Learning
Karan Singhal, Hakim Sidahmed, Zachary Garrett +3
cs.LGcs.DCarXiv:2102.03448v62021
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba, John Nguyen, Kshitiz Malik +11
cs.LGcs.DCarXiv:2111.04877v22021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim, Onur Günlü, Rafael F. Schaefer
cs.LGcs.CRcs.DCarXiv:2102.04737v12021
CIERA: Cross-Iteration Exponent Reuse for Lossless Allgather in Sharded MoE Training
Ali Zafar Sadiq, Haiying Shen, Masahiro Tanaka
cs.DCarXiv:2609.04609v12026
Beyond Scalar Flexibility: From Eligible AI Workloads to Dependable Load Relief
Meiyi Li
eess.SYcs.DCarXiv:2609.05406v12026
BF16 Component-Product Emulation of FP32 and FP64 GEMM on Intel AMX
Bing Cui, Yu Liu
cs.MScs.DCarXiv:2609.04663v12026

Distributed and Cluster Computing

Split Learning in 6G Edge Networks

Dissecting the Graphcore IPU Architecture via Microbenchmarking

Diamond Agent: Agentic Control of Federated HPC Resources as a Service

High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors

Chebyshev Polynomial Approximation for Distributed Signal Processing

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Provably Secure Federated Learning against Malicious Clients

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

Slotted ALOHA on LoRaWAN - Design, Analysis, and Deployment

6G White Paper on Edge Intelligence

Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench

JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

Interference Alignment as a Rank Constrained Rank Minimization

The 2M Multiplication Algorithm for Complex Matrices

Toward a Formally Verified Optimality Certificate for OGR(29): A SAT-Encoding Methods Note with Small-Case Demos

Sustained 70B-Class AWQ Inference on a Single NVIDIA L20: Throughput, Stability, Energy, and Quality Characterization

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

Measurement-Driven Diagnosis and Mitigation of Host-CPU Co-location Interference in Single-GPU LLM Serving on a Multi-GPU Server

STORE: Self-Provisioning Storage-as-a-Service for Serverless Functions

Research on Intra-Chip Fusion Deployment and Optimization of Embodied Intelligence Business Operator NPU

Grid Checkpointing: an Innovative Rollback Support for Speculative Simulation

Beyond Lemma Sharing -- Novel Parallelization Strategies for Property Directed Reachability

Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers

Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions

Towards Decentralized Registries for Assets Metadata Information

COAST: Congestion-Aware Start-Time Recommendations for Carbon-Aware HPC Jobs

Improving Distributed Gradient Descent Using Reed-Solomon Codes

FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute

OHIE: Blockchain Scaling Made Simple

Strategies and Principles of Distributed Machine Learning on Big Data

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers

Algebraic Methods in the Congested Clique

DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks

Distributionally Robust Federated Averaging

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

An Overview of the Commercial Cloud Monitoring Tools: Research Dimensions, Design Issues, and State-of-the-Art

Edge-Fog Cloud: A Distributed Cloud for Internet of Things Computations

Survey of Machine Learning Accelerators

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models

A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

Personalized and Private Peer-to-Peer Machine Learning

Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore

Decentralized Federated Learning: Balancing Communication and Computing Costs

Clio: A Hardware-Software Co-Designed Disaggregated Memory System

Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Coded MapReduce

Parallel Selective Algorithms for Big Data Optimization

Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions

Online Placement of Multi-Component Applications in Edge Computing Environments

Automated Synthesis of Cloud Emulators

Federated Reconstruction: Partially Local Federated Learning

Papaya: Practical, Private, and Scalable Federated Learning

Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication

CIERA: Cross-Iteration Exponent Reuse for Lossless Allgather in Sharded MoE Training

Beyond Scalar Flexibility: From Eligible AI Workloads to Dependable Load Relief

BF16 Component-Product Emulation of FP32 and FP64 GEMM on Intel AMX