Quhaoh233 / ALL
ALL is a pre-training method based on Federated Meta-Learning and Reinforcement Learning, which is used to address the small-sample issues of parking occupancy prediction.
☆11Updated 2 years ago
Alternatives and similar repositories for ALL:
Users that are interested in ALL are comparing it to the libraries listed below
- ☆35Updated 2 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆58Updated 3 years ago
- ☆11Updated 4 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆92Updated 2 months ago
- ☆11Updated last year
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆39Updated 11 months ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 4 months ago
- Publication catalog for research on Federated RL (FRL).☆79Updated 3 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 3 years ago
- LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework☆45Updated 2 years ago
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆22Updated 6 months ago
- Federated Reinforcement Learning project☆27Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆52Updated 2 years ago
- 关于Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee这篇论文的详细代码解读☆10Updated last year
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Federated Learning Paper Reading List☆23Updated 2 years ago
- ☆23Updated last year
- FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks☆23Updated 9 months ago
- ☆30Updated 2 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volat…☆18Updated 5 years ago
- Federated reinforcement learning applied to autonomous vehicle platoon control☆28Updated 2 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- inherit from https://github.com/iqua/flsim☆9Updated 4 years ago
- ☆40Updated 5 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago