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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1,201 to 1,260 of 1,811

When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation
Wenhao Yuan, Chenchen Lin, Wenhao Hu +4
cs.DCcs.AIcs.LGarXiv:2608.15639v12026
When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding
Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1
cs.LGcs.DCarXiv:2609.27819v12026
Specifying Paxos for System Builders: Pseudocode Made Executable
Yanhong A. Liu, Rahul Sihag
cs.DCarXiv:2609.12239v12026
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
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham +37
cs.DCcs.LGarXiv:1603.04467v22016
Deterministic Function Computation with Chemical Reaction Networks
Ho-Lin Chen, David Doty, David Soloveichik
cs.CCcs.DCarXiv:1204.4176v32012
FissionReady: Joint Workload and Power Scheduling for Data Centers Powered by Small Modular Reactors
Raghavendra Kanakagiri, Rohan Basu Roy, Yankai Jiang +2
cs.DCarXiv:2609.39422v12026
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
cs.DCarXiv:2608.25712v12026
Clio: A Hardware-Software Co-Designed Disaggregated Memory System
Zhiyuan Guo, Yizhou Shan, Xuhao Luo +2
cs.DCarXiv:2108.03492v32021
Zepp: Accelerating Distributed MoE Serving under Relaxed Balance Constraints
Chang Chen, Andrew Yang, Tiancheng Chen +5
cs.DCarXiv:2610.11158v12026
Faster Convergence of Multidimensional Approximate Agreement via Smallest Enclosing Balls
Darya Melnyk
cs.DCarXiv:2609.01490v12026
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi +1
cs.LGcs.DCstat.MLarXiv:1910.13598v22019
IAPRepair: In-Network Aggregation Enhanced Proactive Repair for Erasure-Coded Storage System
Lei Liu, Yong Wang, Junqi Chen +3
cs.DCarXiv:2610.11114v12026
A Comprehensive Survey on Fog Computing: State-of-the-art and Research Challenges
Carla Mouradian, Diala Naboulsi, Sami Yangui +3
cs.DCcs.SEarXiv:1710.11001v32017
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan, Christopher Fletcher, Josep Torrellas
cs.DCcs.CRcs.LGarXiv:1808.04761v12018
A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages
Anshu Dubey, Ann Almgren, John Bell +11
cs.DCastro-ph.HEgr-qcarXiv:1610.08833v12016
Distributed Storage Codes with Repair-by-Transfer and Non-achievability of Interior Points on the Storage-Bandwidth Tradeoff
Nihar B. Shah, K. V. Rashmi, P. Vijay Kumar +1
cs.ITcs.DCcs.NIarXiv:1011.2361v22010
Locally Repairable Codes with Multiple Repair Alternatives
Lluis Pamies-Juarez, Henk D. L. Hollmann, Frédérique Oggier
cs.ITcs.DCmath.ITarXiv:1302.5518v22013
The Capacity of Cache Aided Private Information Retrieval
Ravi Tandon
cs.ITcs.CRcs.DCarXiv:1706.07035v12017
Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback
Rati Gelashvili, Lefteris Kokoris-Kogias, Alberto Sonnino +2
cs.DCcs.CRarXiv:2106.10362v42021
Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
Sietse Schelpe
cs.CLcs.AIcs.DCarXiv:2610.10845v12026
Secure Mining of Association Rules in Horizontally Distributed Databases
Tamir Tassa
cs.DBcs.CRcs.DCarXiv:1106.5113v12011
Omnisolver: An extensible interface to Ising spin-glass and QUBO solvers: adding a distributed GPU brute-force plugin
Konrad Jałowiecki, Jakub Pawłowski, Bartłomiej Gardas +1
physics.comp-phcond-mat.dis-nncs.DCarXiv:2610.10542v12026
Enabling Efficient Client Selection in FL-as-a-Service for Multi-Application based Society 5.0
Prachi Nandi, Sonakshi Satpathy, Timam Ghosh +1
cs.NIcs.DCarXiv:2609.38626v12026
FISGuard: Defending Against Membership Inference via Fixed Input Subspaces
Haocheng Jiang, Hua Shen
cs.CRcs.AIcs.DCarXiv:2608.27836v12026
Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers
Wei Wang, Baochun Li, Ben Liang
cs.DCarXiv:1308.0083v12013
Don't Let the Model Write the YAML: Deterministic, Minimal-Diff GitOps Remediation from LLM-Proposed Field Changes
Pruthvi Davineni
cs.SEcs.AIcs.DCarXiv:2609.00227v12026
CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning
Chao Feng, Burkhard Stiller
cs.LGcs.DCarXiv:2609.02450v12026
PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +1
cs.LGcs.CLcs.DCarXiv:2605.08646v12026
The Economic Security of Exponential EIP-1559
Ben Berger, Edward W. Felten, Robin Fritsch
cs.GTcs.CRcs.DCarXiv:2610.10333v12026
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov +8
cs.LGcs.CRcs.CVarXiv:2202.06924v32022
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun +1
stat.MLcs.DCcs.LGarXiv:1805.09965v22018
OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving
Zikun Li, Yixuan Mei, Shiqi Pan +9
cs.DCcs.AIarXiv:2609.14237v12026
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
Characterizing High Bandwidth Flash for LLM Serving
Zack Yu, Chloe Wong, Coleman Hooper +7
cs.LGcs.ARcs.DCarXiv:2609.39131v12026
BF16 Component-Product Emulation of FP32 and FP64 GEMM on Intel AMX
Bing Cui, Yu Liu
cs.MScs.DCarXiv:2609.04663v12026
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Yinmin Zhong, Zili Zhang, Xiaoniu Song +11
cs.LGcs.DCarXiv:2504.15930v12025
DFINITY Technology Overview Series, Consensus System
Timo Hanke, Mahnush Movahedi, Dominic Williams
cs.DCarXiv:1805.04548v12018
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
Vasimuddin Md, Sanchit Misra, Heng Li +1
cs.DCcs.CEcs.PFarXiv:1907.12931v12019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
stat.MLcs.DCcs.LGarXiv:1908.08098v32019
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel, Colby Banbury, Daniel Situnayake +13
cs.DCcs.LGcs.SEarXiv:2212.03332v32022
Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, Andrew Selle +5
cs.NEcs.AIcs.CVarXiv:1703.01041v22017
6G White Paper on Edge Intelligence
Ella Peltonen, Mehdi Bennis, Michele Capobianco +16
cs.DCcs.AIcs.NIarXiv:2004.14850v12020
Perfect Reconstruction Two-Channel Wavelet Filter-Banks for Graph Structured Data
Sunil K. Narang, Antonio Ortega
cs.DCcs.SIarXiv:1106.3693v32011
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
SecLaaS: Secure Logging-as-a-Service for Cloud Forensics
Shams Zawoad, Amit Kumar Dutta, Ragib Hasan
cs.CRcs.DCarXiv:1302.6267v12013
MagiCFirm: A Runtime for Magic-State Cultivation with Algorithm-Hardware Co-Design
Jubo Xu, Abbas B. Ziad, Prakash Murali +1
quant-phcs.ARcs.DCarXiv:2609.29267v12026
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam, Luyang Liu, Ming Yan +1
cs.LGcs.CRcs.CVarXiv:2212.01548v22022
Consistency in Non-Transactional Distributed Storage Systems
Paolo Viotti, Marko Vukolić
cs.DCarXiv:1512.00168v42015
Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric
Marcus Brandenburger, Christian Cachin, Rüdiger Kapitza +1
cs.DCcs.CRarXiv:1805.08541v12018
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu, Jingyan Jiang, Zhi Wang
cs.LGcs.DCcs.NIarXiv:1908.07782v12019
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu +1
cs.LGcs.DCarXiv:2106.06843v12021
Hybrid Hierarchical Runtime Verification for Edge-IoT Security: Combining MonPoly and RTLola
Nikolaos Kekatos, Marinelio Chintri, Panagiotis Katsaros +5
cs.CRcs.DCcs.LOarXiv:2610.09825v12026
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
stat.MLcs.DCcs.LGarXiv:1511.06051v42015
Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies
Felix Brakel, Uraz Odyurt, Ana-Lucia Varbanescu
cs.DCcs.LGarXiv:2403.03699v12024
Encoding and Node Choices in Transversal Fault-Tolerant Distributed Quantum Computations: An Initial Study
Seng W. Loke
quant-phcs.DCarXiv:2609.37210v12026
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong +12
cs.DCcs.CLcs.CVarXiv:2206.03382v22022
XORing Elephants: Novel Erasure Codes for Big Data
Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris Papailiopoulos +4
cs.ITcs.DCcs.NIarXiv:1301.3791v12013
ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3
cs.DCcs.AIarXiv:2609.37085v12026
ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference
Amir Ziashahabi, Hossein Entezari Zarch, Lei Gao +2
cs.LGcs.CLcs.DCarXiv:2609.17943v12026

Distributed and Cluster Computing

When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation

When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding

Specifying Paxos for System Builders: Pseudocode Made Executable

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

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Deterministic Function Computation with Chemical Reaction Networks

FissionReady: Joint Workload and Power Scheduling for Data Centers Powered by Small Modular Reactors

An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management

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

Zepp: Accelerating Distributed MoE Serving under Relaxed Balance Constraints

Faster Convergence of Multidimensional Approximate Agreement via Smallest Enclosing Balls

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization

IAPRepair: In-Network Aggregation Enhanced Proactive Repair for Erasure-Coded Storage System

A Comprehensive Survey on Fog Computing: State-of-the-art and Research Challenges

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages

Distributed Storage Codes with Repair-by-Transfer and Non-achievability of Interior Points on the Storage-Bandwidth Tradeoff

Locally Repairable Codes with Multiple Repair Alternatives

The Capacity of Cache Aided Private Information Retrieval

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute

Secure Mining of Association Rules in Horizontally Distributed Databases

Omnisolver: An extensible interface to Ising spin-glass and QUBO solvers: adding a distributed GPU brute-force plugin

Enabling Efficient Client Selection in FL-as-a-Service for Multi-Application based Society 5.0

FISGuard: Defending Against Membership Inference via Fixed Input Subspaces

Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers

Don't Let the Model Write the YAML: Deterministic, Minimal-Diff GitOps Remediation from LLM-Proposed Field Changes

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

PAAC: Privacy-Aware Agentic Device-Cloud Collaboration

The Economic Security of Exponential EIP-1559

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving

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

Characterizing High Bandwidth Flash for LLM Serving

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

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

DFINITY Technology Overview Series, Consensus System

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems

BRIDGE: Byzantine-resilient Decentralized Gradient Descent

Edge Impulse: An MLOps Platform for Tiny Machine Learning

Large-Scale Evolution of Image Classifiers

6G White Paper on Edge Intelligence

Perfect Reconstruction Two-Channel Wavelet Filter-Banks for Graph Structured Data

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

SecLaaS: Secure Logging-as-a-Service for Cloud Forensics

MagiCFirm: A Runtime for Magic-State Cultivation with Algorithm-Hardware Co-Design

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

Consistency in Non-Transactional Distributed Storage Systems

Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric

Decentralized Federated Learning: A Segmented Gossip Approach

Federated Learning on Non-IID Data: A Survey

Hybrid Hierarchical Runtime Verification for Edge-IoT Security: Combining MonPoly and RTLola

SparkNet: Training Deep Networks in Spark

Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies

Encoding and Node Choices in Transversal Fault-Tolerant Distributed Quantum Computations: An Initial Study

Tutel: Adaptive Mixture-of-Experts at Scale

XORing Elephants: Novel Erasure Codes for Big Data

ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum

ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference