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Distributed Computing

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Showing 1–50 of 379 papers

TitleStatusHype
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed ClusterCode5
Data-Juicer: A One-Stop Data Processing System for Large Language ModelsCode5
Flexible and Scalable Deep Learning with MMLSparkCode3
MMLSpark: Unifying Machine Learning Ecosystems at Massive ScalesCode3
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based MethodsCode2
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
FlexModel: A Framework for Interpretability of Distributed Large Language ModelsCode1
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement LearningCode1
FoV-NeRF: Foveated Neural Radiance Fields for Virtual RealityCode1
Sky Computing: Accelerating Geo-distributed Computing in Federated LearningCode1
Large-scale Neural Solvers for Partial Differential EquationsCode1
A System for Massively Parallel Hyperparameter TuningCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
Scalable Agent-Based Modeling for Complex Financial Market SimulationsCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
Evolutionary Neural AutoML for Deep LearningCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
LBCF: A Large-Scale Budget-Constrained Causal Forest AlgorithmCode1
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed SystemsCode1
Optuna: A Next-generation Hyperparameter Optimization FrameworkCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
A Primer on Coordinate Descent Algorithms—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
A partial order view of message-passing communication models—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
ADDAI: Anomaly Detection using Distributed AI—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization—0
Analog Lagrange Coded Computing—0
Adaptive rewiring of random neural networks generates convergent-divergent units—0
A Multi-Batch L-BFGS Method for Machine Learning—0
Adaptive Explainable Neural Networks (AxNNs)—0
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey—0
Automated Reasoning in Modal and Description Logics via SAT Encoding: the Case Study of K(m)/ALC-Satisfiability—0
Automatic Model Selection for Neural Networks—0
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning—0
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
Asynchronous Announcements—0
Asynchronous Neural Networks for Learning in Graphs—0
A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images—0
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