| 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 |
