| Going Forward-Forward in Distributed Deep Learning | Mar 30, 2024 | Deep LearningDistributed Computing | —Unverified | 0 |
| Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning | Mar 28, 2024 | Distributed ComputingFederated Learning | —Unverified | 0 |
| Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning | Mar 26, 2024 | Cloud ComputingDistributed Computing | —Unverified | 0 |
| PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning | Mar 26, 2024 | Deep Reinforcement LearningDistributed Computing | CodeCode Available | 1 |
| A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques | Mar 17, 2024 | Distributed Computing | —Unverified | 0 |
| MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning | Mar 13, 2024 | Distributed ComputingEdge Detection | —Unverified | 0 |
| Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks | Feb 28, 2024 | Cloud ComputingDeep Reinforcement Learning | —Unverified | 0 |
| Multiple Access in the Era of Distributed Computing and Edge Intelligence | Feb 26, 2024 | Distributed ComputingEdge-computing | —Unverified | 0 |
| Consensus learning: A novel decentralised ensemble learning paradigm | Feb 25, 2024 | Distributed ComputingEnsemble Learning | —Unverified | 0 |
| Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach | Feb 24, 2024 | Deep Reinforcement LearningDistributed Computing | CodeCode Available | 0 |
