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Distributed Computing

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Showing 201–225 of 379 papers

TitleStatusHype
Towards a Better Theoretical Understanding of Independent Subnetwork Training—0
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures—0
Towards Anthropo-inspired Computational Systems: the P^3 Model—0
Towards automated neural design: An open source, distributed neural architecture research framework—0
Unconventional application of k-means for distributed approximate similarity search—0
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models—0
Unifying Graph Convolutional Networks as Matrix Factorization—0
Universal Swarm Computing by Nanorobots—0
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware—0
Vehicular Multi-Tier Distributed Computing with Hybrid THz-RF Transmission in Satellite-Terrestrial Integrated Networks—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
What graph neural networks cannot learn: depth vs width—0
When Evolutionary Computation Meets Privacy—0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning—0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
Exact Support Recovery in Federated Regression with One-shot Communication—0
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning—0
Fast communication-efficient spectral clustering over distributed data—0
Fast Distributed k-Center Clustering with Outliers on Massive Data—0
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems—0
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework—0
Feature-distributed sparse regression: a screen-and-clean approach—0
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