SOTAVerified

Distributed Computing

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 379 papers

TitleStatusHype
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
FLHub: a Federated Learning model sharing service—0
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize—0
Folding@home: achievements from over twenty years of citizen science herald the exascale era—0
FolksoDrivenCloud: an annotation and process application for social collaborative networking—0
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association—0
Fundamental Resource Trade-offs for Encoded Distributed Optimization—0
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks—0
General Coded Computing in a Probabilistic Straggler Regime—0
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation—0
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization—0
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance—0
Going Forward-Forward in Distributed Deep Learning—0
Gradient Coding with Clustering and Multi-message Communication—0
Graph Partitioning via Parallel Submodular Approximation to Accelerate Distributed Machine Learning—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
Heterogeneity: An Open Challenge for Federated On-board Machine Learning—0
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
Holographic Automata for Ambient Immersive A. I. via Reservoir Computing—0
Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks—0
Implementing Dynamic Programming in Computability Logic Web—0
Improved Distributed Principal Component Analysis—0
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks—0
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows—0
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching—0
Iterative Sketching for Secure Coded Regression—0
It is Time for New Perspectives on How to Fight Bloat in GP—0
JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report—0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games—0
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing—0
Layerwise Geo-Distributed Computing between Cloud and IoT—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Learning over inherently distributed data—0
Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks—0
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning—0
Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Collaborative Fog Computing—0
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning—0
Link Prediction with Social Vector Clocks—0
Random Alloy Codes and the Fundamental Limits of Coded Distributed Tensors—0
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats—0
LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing—0
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems—0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning—0
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks—0
Mining Association Rules in Various Computing Environments: A Survey—0
MLDS: A Dataset for Weight-Space Analysis of Neural Networks—0
Modular Resource Centric Learning for Workflow Performance Prediction—0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning—0
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.