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Distributed Computing

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Showing 276–300 of 379 papers

TitleStatusHype
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
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters—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
On the Convergence of Decentralized Adaptive Gradient Methods—0
On the Effect of Task-to-Worker Assignment in Distributed Computing Systems with Stragglers—0
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