SOTAVerified

Distributed Computing

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 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
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
MMLSpark: Unifying Machine Learning Ecosystems at Massive ScalesCode3
Flexible and Scalable Deep Learning with MMLSparkCode3
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based MethodsCode2
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningCode1
Scalable Agent-Based Modeling for Complex Financial Market SimulationsCode1
FlexModel: A Framework for Interpretability of Distributed Large Language ModelsCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Sky Computing: Accelerating Geo-distributed Computing in Federated LearningCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
LBCF: A Large-Scale Budget-Constrained Causal Forest AlgorithmCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement LearningCode1
FoV-NeRF: Foveated Neural Radiance Fields for Virtual RealityCode1
Large-scale Neural Solvers for Partial Differential EquationsCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed SystemsCode1
Optuna: A Next-generation Hyperparameter Optimization FrameworkCode1
Evolutionary Neural AutoML for Deep LearningCode1
A System for Massively Parallel Hyperparameter TuningCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures—0
Centroid Approximation for Byzantine-Tolerant Federated Learning—0
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction—0
Accessibility Barriers in Multi-Terabyte Public Datasets: The Gap Between Promise and Practice—0
Compositional and Equilibrium-Free Conditions for Power System Stability -- Part II: Method and Application—0
Distributed Beamforming Using Decentralized Time Synchronization in a Six-Element Array—0
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesCode0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models—0
Tree-Guided L_1-Convex ClusteringCode0
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance—0
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association—0
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum SystemsCode0
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
Continuous K-Max Bandits—0
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Show:102550
← PrevPage 1 of 8Next →

No leaderboard results yet.