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Distributed Computing

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Showing 151–200 of 379 papers

TitleStatusHype
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Distributed Computing for Scalable Optimal Power Flow in Large Radial Electric Power Distribution Systems with Distributed Energy Resources—0
Distributed Graph Neural Network Training: A Survey—0
A partial order view of message-passing communication models—0
Distributed Estimation and Inference for Semi-parametric Binary Response Models—0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games—0
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark—0
Unconventional application of k-means for distributed approximate similarity search—0
JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report—0
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules—0
Scalable Differentially Private Clustering via Hierarchically Separated TreesCode0
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework—0
Communication-efficient distributed eigenspace estimation with arbitrary node failures—0
Asynchronous Neural Networks for Learning in Graphs—0
Multi-objective Optimization of Clustering-based Scheduling for Multi-workflow On Clouds Considering Fairness—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet ServicesCode0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud ClustersCode0
Computing control invariant sets of nonlinear systems: decomposition and distributed computing—0
ADDAI: Anomaly Detection using Distributed AI—0
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation—0
Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing—0
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems—0
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies—0
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks—0
Improving Response Time of Home IoT Services in Federated LearningCode0
FLHub: a Federated Learning model sharing service—0
Random Alloy Codes and the Fundamental Limits of Coded Distributed Tensors—0
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
Layerwise Geo-Distributed Computing between Cloud and IoT—0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning—0
FleetXCode0
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization—0
Universal Swarm Computing by Nanorobots—0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous EnvironmentsCode0
Interoperable and scalable echosounder data processing with Echopype—0
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks—0
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
Divide and Explore: Multi-Agent Separate Exploration with Shared Intrinsic Motivations—0
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation AnalysisCode0
Coded Computation across Shared Heterogeneous Workers with Communication Delay—0
Asynchronous and Distributed Data Augmentation for Massive Data SettingsCode0
On the Convergence of Decentralized Adaptive Gradient Methods—0
AIMD scheduling and resource allocation in distributed computing systems—0
A Simplicial Model for KB4_n: Epistemic Logic with Agents that May Die—0
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey—0
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