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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841 to 900 of 1,072

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu +15
cs.DCarXiv:1911.01941v12019
Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler +2
cs.LGcs.DCstat.MLarXiv:2012.08565v42020
Mesh-TensorFlow: Deep Learning for Supercomputers
Noam Shazeer, Youlong Cheng, Niki Parmar +9
cs.LGcs.DCstat.MLarXiv:1811.02084v12018
Sintr: Safe Interactive Transactions in the Presence of Byzantine Clients
Austin T. Li, Daniel H. Lee, Lorenzo Alvisi +2
cs.DCarXiv:2608.27091v12026
Serverless Computing: One Step Forward, Two Steps Back
Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez +4
cs.DCcs.DBarXiv:1812.03651v12018
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4
cs.DCarXiv:1911.05642v32019
Consensus with Stochastic Broadcast
Pierre Fraigniaud, Boaz Patt-Shamir, Sergio Rajsbaum
cs.DCarXiv:2608.27336v12026
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges
Saeid Abolfazli, Zohreh Sanaei, Ejaz Ahmed +2
cs.DCarXiv:1306.4956v12013
SBFT: a Scalable and Decentralized Trust Infrastructure
Guy Golan Gueta, Ittai Abraham, Shelly Grossman +6
cs.DCarXiv:1804.01626v32018
Agent Mesh: Reliability Primitives for Non-Idempotent Agent Delegation - Identity Adequacy and Evidence Adequacy
Mazhar Shaikh, Anurag Rajkumar Bombarde, Harshal Pathak
cs.AIcs.DCcs.MAarXiv:2608.26225v12026
Towards Blockchain-based Auditable Storage and Sharing of IoT Data
Hossein Shafagh, Lukas Burkhalter, Anwar Hithnawi +1
cs.DCarXiv:1705.08230v22017
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
cs.DCcs.LGarXiv:2004.04314v12020
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:1905.13727v32019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
Jian Yang, Juno Kim, Morteza Hoseinzadeh +2
cs.DCcs.PFarXiv:1908.03583v12019
Optimizing API Gateway Placement in Multi-Cloud Kubernetes
Vinoth Punniyamoorthy, Murali Shankar Dulam, Aswathnarayan Muthukrishnan Kirubakaran +5
cs.DCarXiv:2608.26573v12026
Enigma: Decentralized Computation Platform with Guaranteed Privacy
Guy Zyskind, Oz Nathan, Alex Pentland
cs.CRcs.DCarXiv:1506.03471v12015
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
Qian Yu, Songze Li, Netanel Raviv +3
cs.ITcs.DCcs.LGarXiv:1806.00939v42018
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu, Kun Zhao, Hongxia Yang +5
cs.DCarXiv:1902.08730v12019
High-Performance Cloud Computing: A View of Scientific Applications
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
cs.DCarXiv:0910.1979v12009
Resource Management in Fog/Edge Computing: A Survey
Cheol-Ho Hong, Blesson Varghese
cs.DCarXiv:1810.00305v12018
Fog Computing: Principles, Architectures, and Applications
Amir Vahid Dastjerdi, Harshit Gupta, Rodrigo N. Calheiros +2
cs.DCarXiv:1601.02752v22016
When Mobile Blockchain Meets Edge Computing
Zehui Xiong, Yang Zhang, Dusit Niyato +2
cs.DCarXiv:1711.05938v22017
NVIDIA Tensor Core Programmability, Performance & Precision
Stefano Markidis, Steven Wei Der Chien, Erwin Laure +2
cs.DCcs.PFarXiv:1803.04014v12018
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen +6
cs.CRcs.DCarXiv:2009.00858v22020
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu +3
cs.LGcs.CVcs.DCarXiv:2106.05001v22021
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee +3
cs.DCarXiv:1901.05758v22019
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
Hierarchical Shared Memory-Aware Optimization for TRSM on GPU Platforms
Xinzhe Chen, Haowei Li, Lijuan Hu +2
cs.DCarXiv:2608.25469v12026
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
A Fundamental Tradeoff between Computation and Communication in Distributed Computing
Songze Li, Mohammad Ali Maddah-Ali, Qian Yu +1
cs.ITcs.DCarXiv:1604.07086v22016
A Survey on 5G: The Next Generation of Mobile Communication
Nisha Panwar, Shantanu Sharma, Awadhesh Kumar Singh
cs.ITcs.DCcs.NIarXiv:1511.01643v12015
FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration
Geraldo F. Oliveira, Arash Tavakkol, Xiangyu Zhu +10
cs.ARcs.AIcs.DCarXiv:2608.25062v12026
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr
cs.ITcs.DCarXiv:1705.10464v22017
Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks
Jingwei Li, Thomas G. Robertazzi
cs.DCarXiv:2608.25087v12026
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
cs.DCarXiv:1801.05868v12018
psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing
Mianjie Yu, Zizhao Mo, Huanyu Qu +8
cs.DCarXiv:2608.25683v12026
AI for Next Generation Computing: Emerging Trends and Future Directions
Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani +19
cs.DCarXiv:2203.04159v12022
Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels
Amir Taherin, Sana Taghipour Anvari, Charles Amante +9
cs.ARcs.AIcs.DCarXiv:2608.25053v12026
A Spatially-Aware Publish-Subscribe Middleware for IoT Applications
Philipp Ungrund, Kurt Rothermel, Sukanya Bhowmik
cs.DCarXiv:2608.25728v12026
Throughput Maximization for MapReduce-Based Collaborative Computing over Energy-Harvesting Wireless Devices
Yuhang Li, Siqi Sun, Hongen Zheng +3
eess.SYcs.DCarXiv:2608.25549v12026
Slasher: Power Flexibility for Cloud Datacenters
Liuzixuan Lin, Fiodar Kazhamiaka, Alok Gautam Kumbhare +10
cs.DCcs.OSeess.SYarXiv:2608.26021v12026
Challenges and Opportunities in Edge Computing
Blesson Varghese, Nan Wang, Sakil Barbhuiya +2
cs.DCarXiv:1609.01967v12016
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
Sebastian Caldas, Jakub Konečny, H. Brendan McMahan +1
cs.LGcs.DCstat.MLarXiv:1812.07210v22018
REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Volker Lindenstruth
cs.DCarXiv:2608.25747v12026
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
cs.DCarXiv:2608.25754v12026
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez +5
cs.LGcs.CRcs.DCarXiv:2211.08413v52022
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
Scalable Multi-GPU Simulation of 3D Multicellular Growth with RNN-Based Workload Balancing
Matvey Moisseyev, Huijing Du, Dandan Zheng +2
cs.DCcs.CEcs.LGarXiv:2608.25890v12026
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
Yang Chen, Xiaoyan Sun, Yaochu Jin
cs.LGcs.AIcs.DCarXiv:1903.07424v12019
Spread of Misinformation in Social Networks
Daron Acemoglu, Asuman Ozdaglar, Ali ParandehGheibi
cs.ITcs.DCmath.PRarXiv:0906.5007v12009
Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data
Rene Glitza, Luca Becker, Rainer Martin
cs.LGcs.DCcs.SDarXiv:2608.25794v12026
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair, Praveen Srinivasan, Sam Blackwell +11
cs.LGcs.AIcs.DCarXiv:1507.04296v22015
Atomic Cross-Chain Swaps
Maurice Herlihy
cs.DCarXiv:1801.09515v42018
Locally Repairable Codes
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
cs.ITcs.DCcs.NIarXiv:1206.3804v22012
SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
cs.DCcs.LGarXiv:2608.24516v12026
The Convergence of Sparsified Gradient Methods
Dan Alistarh, Torsten Hoefler, Mikael Johansson +3
cs.LGcs.DCstat.MLarXiv:1809.10505v12018
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley +2
cs.DCcs.AIcs.LGarXiv:2104.07857v12021
Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +2
cs.LGcs.DCcs.NIarXiv:2608.25535v12026
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho, Jianyu Wang, Gauri Joshi
cs.LGcs.DCstat.MLarXiv:2010.01243v12020

Distributed and Cluster Computing

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

Personalized Federated Learning with First Order Model Optimization

Mesh-TensorFlow: Deep Learning for Supercomputers

Sintr: Safe Interactive Transactions in the Presence of Byzantine Clients

Serverless Computing: One Step Forward, Two Steps Back

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Consensus with Stochastic Broadcast

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

SBFT: a Scalable and Decentralized Trust Infrastructure

Agent Mesh: Reliability Primitives for Non-Idempotent Agent Delegation - Identity Adequacy and Evidence Adequacy

Towards Blockchain-based Auditable Storage and Sharing of IoT Data

Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Optimizing API Gateway Placement in Multi-Cloud Kubernetes

Enigma: Decentralized Computation Platform with Guaranteed Privacy

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy

AliGraph: A Comprehensive Graph Neural Network Platform

High-Performance Cloud Computing: A View of Scientific Applications

Resource Management in Fog/Edge Computing: A Survey

Fog Computing: Principles, Architectures, and Applications

When Mobile Blockchain Meets Edge Computing

NVIDIA Tensor Core Programmability, Performance & Precision

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

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

Hierarchical Shared Memory-Aware Optimization for TRSM on GPU Platforms

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

A Fundamental Tradeoff between Computation and Communication in Distributed Computing

A Survey on 5G: The Next Generation of Mobile Communication

FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication

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

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

psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing

AI for Next Generation Computing: Emerging Trends and Future Directions

Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels

A Spatially-Aware Publish-Subscribe Middleware for IoT Applications

Throughput Maximization for MapReduce-Based Collaborative Computing over Energy-Harvesting Wireless Devices

Slasher: Power Flexibility for Cloud Datacenters

Challenges and Opportunities in Edge Computing

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads

Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

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

Scalable Multi-GPU Simulation of 3D Multicellular Growth with RNN-Based Workload Balancing

Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation

Spread of Misinformation in Social Networks

Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data

Massively Parallel Methods for Deep Reinforcement Learning

Atomic Cross-Chain Swaps

Locally Repairable Codes

SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning

The Convergence of Sparsified Gradient Methods

ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies