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Distributed Computing

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Showing 201–250 of 379 papers

TitleStatusHype
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
On the Convergence of Decentralized Adaptive Gradient Methods—0
On the Effect of Task-to-Worker Assignment in Distributed Computing Systems with Stragglers—0
Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction—0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms—0
Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness—0
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint—0
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors—0
Partitioned Variational Inference: A unified framework encompassing federated and continual learning—0
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization—0
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark—0
Predicate learning in neural systems: Discovering latent generative structures—0
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning—0
Privacy-aware Berrut Approximated Coded Computing for Federated Learning—0
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management—0
Privacy-preserving quantum federated learning via gradient hiding—0
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges—0
Proceedings Fifteenth Conference on Theoretical Aspects of Rationality and Knowledge—0
Proceedings Sixteenth Conference on Theoretical Aspects of Rationality and Knowledge—0
Programming Distributed Collective Processes in the eXchange Calculus—0
Quantile Regression Under Memory Constraint—0
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning—0
Quasi-Newton Updating for Large-Scale Distributed Learning—0
Randomized Polar Codes for Anytime Distributed Machine Learning—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
Remote sensing of forests using discrete return airborne LiDAR—0
Resolvable Designs for Speeding up Distributed Computing—0
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism—0
Resource Aware Multifidelity Active Learning for Efficient Optimization—0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Robust Gradient Descent via Moment Encoding with LDPC Codes—0
Robust Multi-Agent Multi-Armed Bandits—0
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game—0
Scalable and Hybrid Ensemble-Based Causality Discovery—0
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams—0
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
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