| LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm | Jan 29, 2022 | Distributed ComputingMarketing | CodeCode Available | 1 |
| Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems | Feb 13, 2020 | Distributed Computingreinforcement-learning | CodeCode Available | 1 |
| Optuna: A Next-generation Hyperparameter Optimization Framework | Jul 25, 2019 | Distributed ComputingHyperparameter Optimization | CodeCode Available | 1 |
| Distributed Deep Neural Networks over the Cloud, the Edge and End Devices | Sep 6, 2017 | Distributed ComputingObject Recognition | CodeCode Available | 1 |
| A Primer on Coordinate Descent Algorithms | Sep 30, 2016 | BIG-bench Machine Learningcompressed sensing | —Unverified | 0 |
| A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments | Oct 17, 2018 | Cloud ComputingData Compression | —Unverified | 0 |
| A Distributed Deep Representation Learning Model for Big Image Data Classification | Jul 2, 2016 | Distributed ComputingGeneral Classification | —Unverified | 0 |
| A partial order view of message-passing communication models | Oct 24, 2022 | Distributed Computing | —Unverified | 0 |
| An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee | Nov 3, 2020 | Distributed ComputingFairness | —Unverified | 0 |
| ADDAI: Anomaly Detection using Distributed AI | May 2, 2022 | Anomaly DetectionDistributed Computing | —Unverified | 0 |
| A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks | Nov 16, 2022 | Distributed Computingimage-classification | —Unverified | 0 |
| An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization | May 18, 2015 | Distributed ComputingStochastic Optimization | —Unverified | 0 |
| Analog Lagrange Coded Computing | Aug 19, 2020 | Distributed Computing | —Unverified | 0 |
| Adaptive rewiring of random neural networks generates convergent-divergent units | Apr 3, 2021 | Distributed Computing | —Unverified | 0 |
| A Multi-Batch L-BFGS Method for Machine Learning | May 19, 2016 | BIG-bench Machine LearningDistributed Computing | —Unverified | 0 |
| Adaptive Explainable Neural Networks (AxNNs) | Apr 5, 2020 | Distributed Computing | —Unverified | 0 |
| Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey | Nov 8, 2024 | Deep Reinforcement LearningDistributed Computing | —Unverified | 0 |
| Automated Reasoning in Modal and Description Logics via SAT Encoding: the Case Study of K(m)/ALC-Satisfiability | Jan 15, 2014 | Distributed Computing | —Unverified | 0 |
| Automatic Model Selection for Neural Networks | May 15, 2019 | Distributed ComputingEfficient Neural Network | —Unverified | 0 |
| ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning | Jul 19, 2019 | BIG-bench Machine LearningDistributed Computing | —Unverified | 0 |
| A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing | Mar 24, 2023 | Distributed ComputingFederated Learning | —Unverified | 0 |
| A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing | Sep 21, 2015 | CPUDistributed Computing | —Unverified | 0 |
| Asynchronous Announcements | May 8, 2017 | Distributed Computing | —Unverified | 0 |
| Asynchronous Neural Networks for Learning in Graphs | May 24, 2022 | Distributed ComputingGraph Classification | —Unverified | 0 |
| A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images | Aug 26, 2018 | Distributed Computing | —Unverified | 0 |
