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Distributed Computing

Papers

Showing 150 of 379 papers

TitleStatusHype
Data-Juicer: A One-Stop Data Processing System for Large Language ModelsCode5
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed ClusterCode5
MMLSpark: Unifying Machine Learning Ecosystems at Massive ScalesCode3
Flexible and Scalable Deep Learning with MMLSparkCode3
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
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed SystemsCode1
LBCF: A Large-Scale Budget-Constrained Causal Forest AlgorithmCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
Optuna: A Next-generation Hyperparameter Optimization FrameworkCode1
Large-scale Neural Solvers for Partial Differential EquationsCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Evolutionary Neural AutoML for Deep LearningCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Scalable Agent-Based Modeling for Complex Financial Market SimulationsCode1
A System for Massively Parallel Hyperparameter TuningCode1
FoV-NeRF: Foveated Neural Radiance Fields for Virtual RealityCode1
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsCode1
Sky Computing: Accelerating Geo-distributed Computing in Federated LearningCode1
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement LearningCode1
FlexModel: A Framework for Interpretability of Distributed Large Language ModelsCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Improving Response Time of Home IoT Services in Federated LearningCode0
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing SystemsCode0
Iterative Distributed Multinomial RegressionCode0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous EnvironmentsCode0
Vector operations for accelerating expensive Bayesian computations -- a tutorial guideCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process RegressionCode0
Asynchronous and Distributed Data Augmentation for Massive Data SettingsCode0
FleetXCode0
Encoding Cryptographic Functions to SAT Using Transalg SystemCode0
Distributed Mixture-of-Agents for Edge Inference with Large Language ModelsCode0
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-ReduceCode0
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasetsCode0
Distributed Bayesian Matrix Decomposition for Big Data Mining and ClusteringCode0
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engineCode0
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal accelerationCode0
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
DINGO: Distributed Newton-Type Method for Gradient-Norm OptimizationCode0
Communication-Efficient Distributed SVD via Local Power IterationsCode0
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation AnalysisCode0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
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