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Distributed Computing

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Showing 101–150 of 379 papers

TitleStatusHype
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates—0
A Multi-Batch L-BFGS Method for Machine Learning—0
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications—0
DANA: Scalable Out-of-the-box Distributed ASGD Without Retuning—0
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service—0
AI Benchmarks and Datasets for LLM Evaluation—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows—0
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset—0
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters—0
Deploying AI Frameworks on Secure HPC Systems with Containers—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Development details and computational benchmarking of DEPAM—0
Dimensionality Reduction Ensembles—0
DLHub: Model and Data Serving for Science—0
DISCO: Distributed Inference with Sparse Communications—0
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms—0
Distributed Beamforming Using Decentralized Time Synchronization in a Six-Element Array—0
A Primer on Coordinate Descent Algorithms—0
Chemlambda, universality and self-multiplication—0
Centroid Approximation for Byzantine-Tolerant Federated Learning—0
A Generalization of Arrow's Impossibility Theorem Through Combinatorial Topology—0
Cellular Tree Classifiers—0
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing—0
Artificial life, complex systems and cloud computing: a short review—0
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks—0
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature—0
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware—0
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning—0
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees—0
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems—0
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery—0
Distributed Memory Approximate Message Passing—0
Distributed Matrix Completion and Robust Factorization—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
Distributed quasi-Newton robust estimation under differential privacy—0
Distributed Real-Time Sentiment Analysis for Big Data Social Streams—0
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding—0
Distributed sequential federated learning—0
Distributed Solvers for Network Linear Equations with Scalarized Compression—0
Distributed stochastic optimization with large delays—0
Distributed Swarm Intelligence—0
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus—0
Body-Resonance Human Body Communication—0
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