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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1,081 to 1,140 of 1,812

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
cs.LGcs.DCmath.OCarXiv:1709.03528v52017
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
César A. Uribe, Soomin Lee, Alexander Gasnikov +1
math.OCcs.DCcs.MAarXiv:1809.00710v32018
Evaluating Agentic Code Repair Capabilities in Distributed Systems
Yibo Yan, Huijuan Wang, Junzhou He +4
cs.SEcs.AIcs.DCarXiv:2608.14863v12026
Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers
Xi Tong, Zijian Li, Xiaoyi Fan +3
cs.DCarXiv:2610.13061v12026
Annual Interruption Rate as a KPI, its measurement and comparison
Rohit Pandey, Yingnong Dang, Ali Vira +3
cs.DCarXiv:1910.12200v12019
Benchmarking Confidential Computing Performance on NVIDIA Blackwell GPUs
Daniyal Khan, Amean Asad, Ansgar Grunseid
cs.DCcs.CRarXiv:2608.26575v12026
ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
Liu Yang, Zeyu Nie, Andrew Liu +4
cs.LGcs.DCcs.NEarXiv:2603.02510v22026
Adaptive Peer Clustering with Hierarchical Random Linear Network Coding for Resilient Decentralized Wireless Networks
Navaneetha Krishnan Kamalakannan, Harinisri Velmurugan
eess.SPcs.DCcs.ITarXiv:2608.26040v12026
fabric-lib: RDMA Point-to-Point Communication for LLM Systems
Nandor Licker, Kevin Hu, Vladimir Zaytsev +1
cs.DCarXiv:2510.27656v22025
GPU-Accelerated Hypergraph Partitioning and Placement to Map SNNs on Neuromorphic Hardware
Marco Ronzani, Cristina Silvano
cs.DCarXiv:2609.07577v12026
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
cs.LGcs.AIcs.DCarXiv:2602.08003v12026
MegaFlux: Skew-Resilient MoE Megakernels via Pipelined Expert Replication
Jianzhu Yao, Siva Kumar Sastry Hari, Vignesh Balaji +4
cs.DCarXiv:2610.00671v12026
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.CRcs.DCcs.LGarXiv:2007.11115v22020
ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving
You Peng, Youhe Jiang, Chen Wang +1
cs.DCarXiv:2610.01784v12026
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu, Rehmat Ullah, Paul Harvey +3
cs.DCcs.LGarXiv:2107.04271v52021
LongCat-Flash Technical Report
Meituan LongCat Team, Bayan, Bei Li +179
cs.CLcs.AIcs.DCarXiv:2509.01322v22025
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang, Song Guo, Xiaosong Ma +3
cs.LGcs.DCarXiv:2111.02862v12021
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri +3
cs.LGcs.DCmath.OCarXiv:1910.06378v42019
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu, Steve Drew, Fan Dong +2
cs.LGcs.DCarXiv:2302.02573v22023
IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
Redowan Mahmud, Samodha Pallewatta, Mohammad Goudarzi +1
cs.DCcs.PFcs.SEarXiv:2109.05636v22021
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
Liangyu Wang, Siqi Zhang, Junjie Wang +7
cs.DCcs.LGarXiv:2602.06079v12026
Echo: Merging Host Device Buffers to Avoid Redundant Data Movement on Unified Memory SoCs
Yuheng Zhu, Yanbo Zhao, Jiajia Li +1
cs.DCcs.OSarXiv:2609.05635v22026
Decentralized Federated Learning: Balancing Communication and Computing Costs
Wei Liu, Li Chen, Wenyi Zhang
cs.LGcs.DCarXiv:2107.12048v42021
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
Shreshth Tuli, Redowan Mahmud, Shikhar Tuli +1
cs.DCarXiv:1811.11978v12018
Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks
Jingwei Li, Thomas G. Robertazzi
cs.DCarXiv:2608.25087v12026
Algorand
Jing Chen, Silvio Micali
cs.CRcs.DCarXiv:1607.01341v92016
Revisiting MemGuard Overhead: A Reproduction Report
Weifan Chen, Heechul Yun, Renato Mancuso
cs.DCarXiv:2609.04547v12026
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries
Maciej Besta, Robert Gerstenberger, Emanuel Peter +5
cs.DBcs.DCarXiv:1910.09017v82019
Partial FC: Training 10 Million Identities on a Single Machine
Xiang An, Xuhan Zhu, Yang Xiao +7
cs.CVcs.DCarXiv:2010.05222v42020
ZOCheck: CPU-Shadow Checkpointing for Zeroth-Order LLM Fine-Tuning
Minqiu Sun, Xin Huang, Luanzheng Guo +3
cs.DCarXiv:2609.27189v12026
A Dynamic Vertical Scaling Strategy for Distributed Stream Processing Applications in Edge Computing
Guilherme Hiago Costa dos Santos, Carlos Henrique Kayser, Tiago Coelho Ferreto
cs.DCarXiv:2609.12975v12026
Communication Compression for Decentralized Training
Hanlin Tang, Shaoduo Gan, Ce Zhang +2
cs.LGcs.DCeess.SYarXiv:1803.06443v52018
A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy +3
cs.LGcs.DCstat.MLarXiv:1912.09789v12019
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling
Jianlong Zhong, Bingsheng He
cs.DCarXiv:1303.5164v12013
B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
Yilin Guan, Shuqing Luo, Pingzhi Li +2
math.OCcs.DCarXiv:2608.28988v12026
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Seiya Tokui, Ryosuke Okuta, Takuya Akiba +7
cs.LGcs.CVcs.DCarXiv:1908.00213v12019
FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference
Gongwei Lee, Ji Liu, Juncheng Jia +1
cs.LGcs.AIcs.DCarXiv:2608.24945v12026
Summaries:한국어
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling
Hamid Arabnejad, Claus Pahl, Pooyan Jamshidi +1
cs.DCcs.AIarXiv:1705.07114v12017
COAST: Congestion-Aware Start-Time Recommendations for Carbon-Aware HPC Jobs
Weibin Feng, Abhishek Dasgupta, Zeynep Duygu Tekler +3
cs.DCcs.GTarXiv:2609.05443v12026
SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs
Ruijia Yang, Shiyuan Lin, Yulong Ao +5
cs.DCarXiv:2609.34162v12026
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
Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory
Farhoud Jafari Kaleibar, Amr M. Zaki, Marin Litoiu
cs.LGcs.DCarXiv:2610.10926v12026
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang, Jinmian Ye, Yiyang Zhao +5
cs.DCcs.LGarXiv:1801.04380v12018
The 2M Multiplication Algorithm for Complex Matrices
Peter Caday
cs.DCmath.NAarXiv:2609.05419v12026
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism
Xupeng Miao, Yujie Wang, Youhe Jiang +4
cs.LGcs.DBcs.DCarXiv:2211.13878v12022
A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez +1
cs.DCarXiv:2609.03297v12026
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
stat.MLcs.DCcs.LGarXiv:1909.05125v12019
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang +3
cs.DCcs.AIarXiv:2601.19362v12026
Measuring Sustainability in Multi-Scale High-Performance Computing
Carlos J Barrios, Frédéric Le Mouël, Yves Denneulin
cs.DCarXiv:2609.08688v12026
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin, Song Han, Huizi Mao +2
cs.CVcs.DCcs.LGarXiv:1712.01887v32017
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
Graham Gobieski, Nathan Beckmann, Brandon Lucia
cs.DCarXiv:1810.07751v22018
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya
cs.DCeess.SParXiv:2005.10460v12020
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
Minxue Tang, Xuefei Ning, Yitu Wang +4
cs.LGcs.DCarXiv:2103.13822v32021
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Yunseong Lee, Alberto Scolari, Byung-Gon Chun +3
cs.LGcs.DCstat.MLarXiv:1810.06115v12018
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu, Zitao Li, Yaliang Li +2
cs.LGcs.CLcs.DCarXiv:2406.17706v12024
When Mobile Blockchain Meets Edge Computing
Zehui Xiong, Yang Zhang, Dusit Niyato +2
cs.DCarXiv:1711.05938v22017
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei +3
cs.DCcs.CLcs.LGarXiv:2610.13325v12026
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi +1
stat.MLcs.DCcs.ITarXiv:1711.04969v22017
ExaServe: Large-Scale LLM Serving on Exascale HPC Systems
Wenyi Wang, Shu Shi, Yadu Babuji +2
cs.DCarXiv:2609.10812v22026

Distributed and Cluster Computing

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

Evaluating Agentic Code Repair Capabilities in Distributed Systems

Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers

Annual Interruption Rate as a KPI, its measurement and comparison

Benchmarking Confidential Computing Performance on NVIDIA Blackwell GPUs

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

Adaptive Peer Clustering with Hierarchical Random Linear Network Coding for Resilient Decentralized Wireless Networks

fabric-lib: RDMA Point-to-Point Communication for LLM Systems

GPU-Accelerated Hypergraph Partitioning and Placement to Map SNNs on Neuromorphic Hardware

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

MegaFlux: Skew-Resilient MoE Megakernels via Pipelined Expert Replication

Byzantine-Resilient Secure Federated Learning

ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning

LongCat-Flash Technical Report

Parameterized Knowledge Transfer for Personalized Federated Learning

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers

Echo: Merging Host Device Buffers to Avoid Redundant Data Movement on Unified Memory SoCs

Decentralized Federated Learning: Balancing Communication and Computing Costs

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks

Algorand

Revisiting MemGuard Overhead: A Reproduction Report

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries

Partial FC: Training 10 Million Identities on a Single Machine

ZOCheck: CPU-Shadow Checkpointing for Zeroth-Order LLM Fine-Tuning

A Dynamic Vertical Scaling Strategy for Distributed Stream Processing Applications in Edge Computing

Communication Compression for Decentralized Training

A Survey on Distributed Machine Learning

Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling

B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints

Chainer: A Deep Learning Framework for Accelerating the Research Cycle

FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference

A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling

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

SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs

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

Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory

SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

The 2M Multiplication Algorithm for Complex Matrices

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

Revisiting Parameter Server in LLM Post-Training

Measuring Sustainability in Multi-Scale High-Performance Computing

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems

Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model

When Mobile Blockchain Meets Edge Computing

Taking Tokenization off the Host for Agentic LLM Serving

Straggler Mitigation in Distributed Optimization Through Data Encoding

ExaServe: Large-Scale LLM Serving on Exascale HPC Systems