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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361 to 420 of 1,072

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
Fully Fluctuating Sleepy Consensus from Minimal Assumptions
Javier Nieto, Yuval Efron, Joachim Neu +1
cs.DCarXiv:2609.03063v12026
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Yinmin Zhong, Zili Zhang, Xiaoniu Song +11
cs.LGcs.DCarXiv:2504.15930v12025
AceSpec: An Asymmetric Edge-Cloud Collaborative Framework for Communication-Efficient LLM Inference
Yida Zhang, Zhiyong Gao, Shuaibing Yue +2
cs.DCarXiv:2609.02514v12026
When Do Redundant Requests Reduce Latency ?
Nihar B. Shah, Kangwook Lee, Kannan Ramchandran
cs.NIcs.DCcs.PFarXiv:1311.2851v12013
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
Weixun Wang, Shaopan Xiong, Gengru Chen +38
cs.LGcs.DCarXiv:2506.06122v12025
When Does Authorization End? Effect Closure at Provider Boundaries
Igor Santos-Grueiro
cs.CRcs.DCarXiv:2609.02866v12026
Power Stabilization for AI Training Datacenters
Esha Choukse, Brijesh Warrier, Scot Heath +54
cs.ARcs.AIcs.DCarXiv:2508.14318v22025
Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi, István Hegedüs, Márk Jelasity
cs.LGcs.DCarXiv:1109.1396v32011
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
Joseph C. Jacob, Daniel S. Katz, G. Bruce Berriman +8
astro-ph.IMcs.DCcs.SEarXiv:1005.4454v12010
From Federated Learning to Federated Neural Architecture Search: A Survey
Hangyu Zhu, Haoyu Zhang, Yaochu Jin
cs.DCarXiv:2009.05868v12020
mzCache: On-Device LLM Memory Management under Multitasking
Hongseung Yu, Minsung Kim, Jongseok Park +1
cs.OScs.DCcs.LGarXiv:2609.01338v12026
Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction
Alfonso López-Ruiz, Diego Royo
cs.DCcs.CVarXiv:2608.28183v12026
Exploring the Role of LLMs in HPC Programming: A Survey
Strahinja Ljaljevic, Josep Jorba, Sergio Iserte
cs.DCcs.AIarXiv:2608.26110v12026
Sequence Parallelism: Long Sequence Training from System Perspective
Shenggui Li, Fuzhao Xue, Chaitanya Baranwal +2
cs.LGcs.DCarXiv:2105.13120v32021
Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge
Jianpeng Qi, Qiyang Zhang, Chao Liu +5
cs.DCcs.MAcs.NIarXiv:2609.01082v12026
Blockchain-enabled Resource Management and Sharing for 6G Communications
Hao Xu, Paulo Valente Klaine, Oluwakayode Onireti +3
cs.DCcs.DBeess.SParXiv:2003.13083v22020
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
cs.ROcs.DCcs.LGarXiv:2011.13219v22020
Resource Allocation in a Network-Based Cloud Computing Environment: Design Challenges
Mohamed Abu Sharkh, Manar Jammal, Abdallah Shami +1
cs.NIcs.DCarXiv:1309.1208v12013
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz +1
cs.LGcs.CRcs.DCarXiv:2108.10241v22021
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang +8
cs.LGcs.DCcs.PFarXiv:2207.00032v12022
Performance Evaluation of Microservices Architectures using Containers
Marcelo Amaral, Jordà Polo, David Carrera +3
cs.DCarXiv:1511.02043v12015
The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser
Onur Mutlu
cs.DCarXiv:1703.00626v12017
Federated Graph Neural Networks: Overview, Techniques and Challenges
Rui Liu, Pengwei Xing, Zichao Deng +3
cs.DCcs.LGarXiv:2202.07256v22022
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg
Yuhao Zhou, Ye Qing, Jiancheng Lv
cs.LGcs.DCarXiv:2012.06706v22020
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Jun Li, Yumeng Shao, Kang Wei +5
cs.LGcs.DCarXiv:2101.06905v22021
FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
Sai Puppala, Koushik Sinha
cs.AIcs.DCcs.ETarXiv:2609.00875v12026
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Chenggang Zhao, Chengqi Deng, Chong Ruan +12
cs.DCcs.AIcs.ARarXiv:2505.09343v22025
Priority-based Parameter Propagation for Distributed DNN Training
Anand Jayarajan, Jinliang Wei, Garth Gibson +2
cs.DCcs.LGarXiv:1905.03960v12019
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu, Xinyi Tong, Shao-Lun Huang
cs.LGcs.DCarXiv:2306.11867v12023
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines
Shigang Li, Torsten Hoefler
cs.DCcs.LGarXiv:2107.06925v52021
Building a Framework for Predictive Science
Michael M. McKerns, Leif Strand, Tim Sullivan +2
cs.MScs.DCcs.DMarXiv:1202.1056v12012
Research Agenda in Cloud Technologies
Ilango Sriram, Ali Khajeh-Hosseini
cs.DCarXiv:1001.3259v12010
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
cs.LGcs.DCeess.SYarXiv:2103.08295v32021
Service Level Agreement (SLA) in Utility Computing Systems
Linlin Wu, Rajkumar Buyya
cs.DCarXiv:1010.2881v12010
On the Delay-Storage Trade-off in Content Download from Coded Distributed Storage Systems
Gauri Joshi, Yanpei Liu, Emina Soljanin
cs.DCcs.ITcs.PFarXiv:1305.3945v22013
Algorand
Jing Chen, Silvio Micali
cs.CRcs.DCarXiv:1607.01341v92016
Skywing: A Platform for Decentralized Mathematical Computing in Unreliable Environments
Alyson Fox, Colin Ponce, Annika Mauro +4
cs.DCarXiv:2609.03145v12026
Performance Foundations of Parallel & Distributed Reasoning Language Models
Maciej Besta, Leonard Schmidt, Lara Nonino +7
cs.LGcs.AIcs.DCarXiv:2608.27046v12026
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
Xiang Fu, Jixiang Ma, Xinpeng Zhang +3
cs.DCcs.CVarXiv:2608.20725v12026
A Modern Primer on Processing in Memory
Onur Mutlu, Saugata Ghose, Juan Gómez-Luna +3
cs.ARcs.DCarXiv:2012.03112v52020
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
cs.LGcs.CLcs.DCarXiv:2007.06225v32020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
cs.DCcs.LGarXiv:2004.00773v12020
IPFS - Content Addressed, Versioned, P2P File System
Juan Benet
cs.NIcs.DCarXiv:1407.3561v12014
Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers
Sajjad Khan
cs.LGcs.DCcs.LOarXiv:2608.03836v32026
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus
Syed Muhammad Aqdas Rizvi
cs.AIcs.CLcs.CRarXiv:2604.16913v12026
VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin, Yuejiao Sun +1
cs.LGcs.DCmath.OCarXiv:2007.06081v12020
Storage-Centric System Designs for Enabling Fast, Efficient, and Low-Cost Genomic and Metagenomic Analyses
Nika Mansouri Ghiasi
cs.ARcs.DCq-bio.GNarXiv:2608.31004v12026
Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads
Anubhab Banerjee
cs.AIcs.DCcs.LGarXiv:2608.15117v12026
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions
Qinglin Yang, Chen Qiu, Hongyuan Zhang +3
cs.LGcs.AIcs.DCarXiv:2608.13844v12026
AURA: Action-Gated Memory for Robot Policies at Constant VRAM
Josef Chen
cs.AIcs.ARcs.DCarXiv:2606.02775v12026
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu +12
cs.DCarXiv:2407.04053v22024
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi
cs.LGcs.DCcs.DSarXiv:1902.00340v12019
IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts
Min Wu, Ji Qi, Chengdui Luo +3
cs.DBcs.DCarXiv:2608.26537v12026
Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression
Mohammad Mozaffari
cs.AIcs.DCcs.LGarXiv:2608.24070v12026
Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads
Cunchen Hu, Heyang Huang, Liangliang Xu +9
cs.DCarXiv:2401.11181v12024
MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Mind Lab, :, Song Cao +60
cs.LGcs.AIcs.DCarXiv:2605.13779v22026
Trust The Typical
Debargha Ganguly, Sreehari Sankar, Biyao Zhang +8
cs.CLcs.AIcs.DCarXiv:2602.04581v12026
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
cs.LGcs.CRcs.DCarXiv:2007.10987v12020
Sparse GPU Kernels for Deep Learning
Trevor Gale, Matei Zaharia, Cliff Young +1
cs.LGcs.DCstat.MLarXiv:2006.10901v22020

Distributed and Cluster Computing

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Fully Fluctuating Sleepy Consensus from Minimal Assumptions

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

AceSpec: An Asymmetric Edge-Cloud Collaborative Framework for Communication-Efficient LLM Inference

When Do Redundant Requests Reduce Latency ?

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

When Does Authorization End? Effect Closure at Provider Boundaries

Power Stabilization for AI Training Datacenters

Gossip Learning with Linear Models on Fully Distributed Data

Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking

From Federated Learning to Federated Neural Architecture Search: A Survey

mzCache: On-Device LLM Memory Management under Multitasking

Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction

Exploring the Role of LLMs in HPC Programming: A Survey

Sequence Parallelism: Long Sequence Training from System Perspective

Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge

Blockchain-enabled Resource Management and Sharing for 6G Communications

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

Resource Allocation in a Network-Based Cloud Computing Environment: Design Challenges

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Performance Evaluation of Microservices Architectures using Containers

The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser

Federated Graph Neural Networks: Overview, Techniques and Challenges

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Priority-based Parameter Propagation for Distributed DNN Training

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines

Building a Framework for Predictive Science

Research Agenda in Cloud Technologies

TinyOL: TinyML with Online-Learning on Microcontrollers

Service Level Agreement (SLA) in Utility Computing Systems

On the Delay-Storage Trade-off in Content Download from Coded Distributed Storage Systems

Algorand

Skywing: A Platform for Decentralized Mathematical Computing in Unreliable Environments

Performance Foundations of Parallel & Distributed Reasoning Language Models

Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores

A Modern Primer on Processing in Memory

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

IPFS - Content Addressed, Versioned, P2P File System

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus

VAFL: a Method of Vertical Asynchronous Federated Learning

Storage-Centric System Designs for Enabling Fast, Efficient, and Low-Cost Genomic and Metagenomic Analyses

Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads

Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions

AURA: Action-Gated Memory for Robot Policies at Constant VRAM

Edge AI: A Taxonomy, Systematic Review and Future Directions

Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication

IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts

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

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

Trust The Typical

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Sparse GPU Kernels for Deep Learning