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Distributed Computing

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Showing 251–300 of 379 papers

TitleStatusHype
Graph Partitioning via Parallel Submodular Approximation to Accelerate Distributed Machine Learning—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
Heterogeneity: An Open Challenge for Federated On-board Machine Learning—0
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
Holographic Automata for Ambient Immersive A. I. via Reservoir Computing—0
Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks—0
Implementing Dynamic Programming in Computability Logic Web—0
Improved Distributed Principal Component Analysis—0
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks—0
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows—0
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching—0
Iterative Sketching for Secure Coded Regression—0
It is Time for New Perspectives on How to Fight Bloat in GP—0
JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report—0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games—0
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing—0
Layerwise Geo-Distributed Computing between Cloud and IoT—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Learning over inherently distributed data—0
Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks—0
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning—0
Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Collaborative Fog Computing—0
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning—0
Link Prediction with Social Vector Clocks—0
Random Alloy Codes and the Fundamental Limits of Coded Distributed Tensors—0
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats—0
LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing—0
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems—0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning—0
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks—0
Mining Association Rules in Various Computing Environments: A Survey—0
MLDS: A Dataset for Weight-Space Analysis of Neural Networks—0
Modular Resource Centric Learning for Workflow Performance Prediction—0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning—0
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing—0
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing—0
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks—0
Multi-objective Optimization of Clustering-based Scheduling for Multi-workflow On Clouds Considering Fairness—0
Multiple Access in the Era of Distributed Computing and Edge Intelligence—0
N^3LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data—0
NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results—0
Non-Sequential Ensemble Kalman Filtering using Distributed Arrays—0
On Artificial Life and Emergent Computation in Physical Substrates—0
On Collaboration in Distributed Parameter Estimation with Resource Constraints—0
One-shot Distributed Ridge Regression in High Dimensions—0
On estimating total time to solve SAT in distributed computing environments: Application to the SAT@home project—0
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems—0
Online Learning for Wireless Distributed Computing—0
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