| A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks | Nov 16, 2022 | Distributed Computingimage-classification | —Unverified | 0 | 0 |
| A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks | Oct 17, 2018 | Distributed ComputingScheduling | —Unverified | 0 | 0 |
| Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning | Sep 22, 2024 | Distributed ComputingFederated Learning | —Unverified | 0 | 0 |
| Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey | Nov 8, 2024 | Deep Reinforcement LearningDistributed Computing | —Unverified | 0 | 0 |
| Accessibility Barriers in Multi-Terabyte Public Datasets: The Gap Between Promise and Practice | Jun 16, 2025 | Distributed Computing | —Unverified | 0 | 0 |
| A Closer Look at Codistillation for Distributed Training | Oct 6, 2020 | Distributed Computing | —Unverified | 0 | 0 |
| Active Inference on the Edge: A Design Study | Nov 17, 2023 | Distributed Computing | —Unverified | 0 | 0 |
| Adaptive Explainable Neural Networks (AxNNs) | Apr 5, 2020 | Distributed Computing | —Unverified | 0 | 0 |
| Adaptive rewiring of random neural networks generates convergent-divergent units | Apr 3, 2021 | Distributed Computing | —Unverified | 0 | 0 |
| ADDAI: Anomaly Detection using Distributed AI | May 2, 2022 | Anomaly DetectionDistributed Computing | —Unverified | 0 | 0 |
| A Distributed Deep Representation Learning Model for Big Image Data Classification | Jul 2, 2016 | Distributed ComputingGeneral Classification | —Unverified | 0 | 0 |
| A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers | Oct 8, 2018 | Distributed Computing | —Unverified | 0 | 0 |
| Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery | Aug 18, 2023 | Distributed Computing | —Unverified | 0 | 0 |
| A Generalization of Arrow's Impossibility Theorem Through Combinatorial Topology | Feb 8, 2024 | Distributed Computing | —Unverified | 0 | 0 |
| AI Benchmarks and Datasets for LLM Evaluation | Dec 2, 2024 | BenchmarkingDistributed Computing | —Unverified | 0 | 0 |
| AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP | Dec 16, 2024 | Anomaly DetectionDistributed Computing | —Unverified | 0 | 0 |
| AIMD scheduling and resource allocation in distributed computing systems | Sep 6, 2021 | Distributed ComputingScheduling | —Unverified | 0 | 0 |
| Akid: A Library for Neural Network Research and Production from a Dataism Approach | Jan 3, 2017 | Distributed ComputingGPU | —Unverified | 0 | 0 |
| A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images | Aug 26, 2018 | Distributed Computing | —Unverified | 0 | 0 |
| A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing | Sep 21, 2015 | CPUDistributed Computing | —Unverified | 0 | 0 |
| A Multi-Batch L-BFGS Method for Machine Learning | May 19, 2016 | BIG-bench Machine LearningDistributed Computing | —Unverified | 0 | 0 |
| Analog Lagrange Coded Computing | Aug 19, 2020 | Distributed Computing | —Unverified | 0 | 0 |
| An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization | May 18, 2015 | Distributed ComputingStochastic Optimization | —Unverified | 0 | 0 |
| An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee | Nov 3, 2020 | Distributed ComputingFairness | —Unverified | 0 | 0 |
| A partial order view of message-passing communication models | Oct 24, 2022 | Distributed Computing | —Unverified | 0 | 0 |