Distributed Computing

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 85 papers with code (379 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Optuna: A Next-generation Hyperparameter Optimization Framework
  25 Jul 2019 11 repositories listed Syntology ran 0 of 20 samples · 20 unverified
  We will present the design-techniques that became necessary in the development of the software that meets the above criteria, and demonstrate the power of our new design through experimental results and real world…
• A System for Massively Parallel Hyperparameter Tuning
  13 Oct 2018 6 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  Modern learning models are characterized by large hyperparameter spaces and long training times.
• FedML: A Research Library and Benchmark for Federated Machine Learning
  27 Jul 2020 5 repositories listed Syntology ran 0 of 5 samples · 5 unverified · 1 pointer-only (licence)
  Federated learning (FL) is a rapidly growing research field in machine learning.
• Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
  10 Aug 2024 3 repositories listed
  However, as the scale of the edge computing system is getting larger, communication among devices is becoming the bottleneck because of the limited bandwidth of wireless communication leads to large data transfer…
• Tree-Guided L₁-Convex Clustering
  31 Mar 2025 2 repositories listed
  Convex clustering is a modern clustering framework that guarantees globally optimal solutions and performs comparably to other advanced clustering methods.
• Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
  5 Mar 2025 2 repositories listed
  Ensuring Service Level Objectives (SLOs) in large-scale architectures, such as Distributed Computing Continuum Systems (DCCS), is challenging due to their heterogeneous nature and varying service requirements across…
• PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning
  26 Mar 2024 2 repositories listed
  Task offloading, crucial for balancing computational loads across devices in networks such as the Internet of Things, poses significant optimization challenges, including minimizing latency and energy usage under strict…
• Scalable Agent-Based Modeling for Complex Financial Market Simulations
  22 Dec 2023 2 repositories listed
  To the best of our knowledge, this study is the first to implement multiple assets, parallel agent decision-making, a continuous double auction mechanism, and intelligent agent types in a scalable real-time environment.
• Data-Juicer: A One-Stop Data Processing System for Large Language Models
  5 Sep 2023 2 repositories listed
  A data recipe is a mixture of data from different sources for training LLMs, which plays a vital role in LLMs' performance.
• Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering
  10 Feb 2020 2 repositories listed
  Such a method should scale up well, model the heterogeneous noise, and address the communication issue in a distributed system.
• Orchestral: a lightweight framework for parallel simulations of cell-cell communication
  28 Jun 2018 2 repositories listed
  By the use of operator-splitting we decouple the simulation of reaction-diffusion kinetics inside the cells from the simulation of molecular cell-cell interactions occurring on the boundaries between cells.
• Billion-scale Network Embedding with Iterative Random Projection
  7 May 2018 2 repositories listed
  Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently.
• CoCoA: A General Framework for Communication-Efficient Distributed Optimization
  7 Nov 2016 2 repositories listed
  The scale of modern datasets necessitates the development of efficient distributed optimization methods for machine learning.
• SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
  1 May 2025 1 repository listed
  Aiming at the challenges of limited storage resources for CL, poor autonomy in task shift detection, and difficulty in coping with new adversarial tasks in FCL scenario, we propose a novel FCL framework named SacFL.
• Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
  20 Mar 2025 1 repository listed
  This paper presents a survey on distributed solutions for various LMs, including large language models (LLMs), vision language models (VLMs), multimodal LLMs (MLLMs), and small language models (SLMs).
• Distributed Mixture-of-Agents for Edge Inference with Large Language Models
  30 Dec 2024 1 repository listed
  Further, we demonstrate through experiments, leveraging open-source LLMs for the implementation of distributed MoA, that certain MoA configurations produce higher-quality responses compared to others, as evaluated on…
• A Survey on Inference Optimization Techniques for Mixture of Experts Models
  18 Dec 2024 1 repository listed
  This survey provides both a structured overview of existing solutions and identifies key challenges and promising research directions in MoE inference optimization.
• CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development Dynamics
  13 Dec 2024 1 repository listed
  Timely and accurate economic data is crucial for effective policymaking.
• Iterative Distributed Multinomial Regression
  2 Dec 2024 1 repository listed
  This article introduces an iterative distributed computing estimator for the multinomial logistic regression model with large choice sets.
• Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers
  9 Nov 2024 1 repository listed
  In a classical distributed computing architecture with a central server, the proposed OMTL algorithm with the ADMM optimizer outperforms SGD-based approaches in terms of accuracy and efficiency.
• V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
  30 Oct 2024 1 repository listed
  Firstly, a centralized cooperative trajectory planning problem is formulated subject to the safely constraints and traffic performance in ramp merging scenario, where the trajectories of all vehicles are jointly…
• Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
  26 Jul 2024 1 repository listed
  In our experiments, we demonstrate the reduced search space gain over a naive sequential search of the ideal k and the accuracy of the Binary Bleed in identifying the correct k for NMFk, K-Means pyDNMFk, and pyDRESCALk…
• Correlations Are Ruining Your Gradient Descent
  15 Jul 2024 1 repository listed
  We extend this perspective and show that to fully solve the problem illuminated by natural gradients in neural networks, one must recognise that correlations in the data at any linear transformation, including node…
• Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
  13 Jul 2024 1 repository listed
  We demonstrate our algorithm's scalability using up to $2, 048$ cores on the Frontera supercomputer at the Texas Advanced Computing Center.
• Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
  20 Jun 2024 1 repository listed
  Bi-level optimization (BO) has become a fundamental mathematical framework for addressing hierarchical machine learning problems.
• Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges
  26 Apr 2024 1 repository listed
  In the rapidly evolving cryptocurrency landscape, trust is a critical yet underexplored factor shaping market behaviors and driving user preferences between centralized exchanges (CEXs) and decentralized exchanges…
• Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach
  24 Feb 2024 1 repository listed
  To address this challenge, our research presents a novel framework that harnesses the potential of Deep Reinforcement Learning (DRL), specifically utilizing the Importance Weighted Actor-Learner Architecture (IMPALA)…
• Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
  13 Feb 2024 1 repository listed
  Efficient inference in high-dimensional models is a central challenge in machine learning.
• FlexModel: A Framework for Interpretability of Distributed Large Language Models
  5 Dec 2023 1 repository listed Syntology ran 6 of 8 samples · 2 unverified
  With the growth of large language models, now incorporating billions of parameters, the hardware prerequisites for their training and deployment have seen a corresponding increase.
• Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
  21 Sep 2023 1 repository listed
  However, our empirical study shows that traditional pruning-based solution suffers \textit{poison-coupling} effect in FL, which significantly degrades the defense performance.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.