yang979131788's Stars
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
alibaba/FederatedScope
An easy-to-use federated learning platform
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
WwZzz/easyFL
An experimental platform for federated learning.
IBM/adaptive-federated-learning
Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
diaoenmao/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
spiglerg/DQN_DDQN_Dueling_and_DDPG_Tensorflow
Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient (DDPG)
zyplanet/FederatedLearningUsingPysyft
wuda1/NOMA_resource_allocation_test_ending_20220421
20220427-use DQN and DDPG to allocation the NOMA resource
aelgabli/AoI_RL
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
FRL2019/FRL
vinuni-vishc/fedDCT
FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
Sofianebouaziz1/FLASH-RL
FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.
diaoenmao/SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
[NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
skumar9876/FCRL
Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent
This code is the result of the collaboration of RL Turkey team.
cboin1996/avddpg
Federated reinforcement learning applied to autonomous vehicle platoon control
jjzgeeks/FL-DLT3
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT
bl166/WirelessFL-PDG
qiongwu86/DDPG-RIS-MADDPG-POWER
qiongwu86/Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network
qiongwu86/RIS-RB-AoI-V2X-DRL
OnizukaLab/FedMeasure
qiongwu86/Distributed-DRL-Based-Gradient-Quantization-for-Federated-Learning-Enabled-VEC
qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learning
rruisong/H2-Fed
PyTorch implementation of H2-Fed Federated Learning Framework
ishikakadam/Federated-Learning-Integration-with-Reinforcement-Learning-Framework
—This research investigates the integration of deep reinforcement learning techniques within Next Generation Networks using Federated Learning methodologies. The aim is to optimize the performance, scalability and privacy preservation of cellular base stations within a Next Generation Network
Jerrling02/ASFL
This is a semi-asynchronous federated learning, completed for the paper"ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks"
Jerrling02/MCFL
This is Code for "A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning";
WeibinKOU/CRCHFL