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haosun aa3b08e2ef Delete 'Propagation Map Reconstruction via Interpolation Assisted Matrix Completion' 1 year ago
A joint learning and communications framework for federated learning over wireless networks first commit 4 years ago
Communication-efficient federated edge learning via optimal probabilistic device scheduling first commit 3 years ago
Design of energy modulation massive SIMO transceivers via machine learning 更新 'Design of energy modulation massive SIMO transceivers via machine learning/README.md' 3 years ago
IEEE CIC ICCC 2019/file 上传文件至 'IEEE CIC ICCC 2019/file' 3 years ago
Net4AI IEEE TWC paper 实现代码 3 years ago
Noncoherent_massive_random_access second commit 3 years ago
One-bit-AirComp-for-federated-edge-learning first commit 4 years ago
Optimized Power Control for Over-the-Air Federated Edge Learning first commit 3 years ago
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Convergence Time Minimization(1).zip Convergence Time Minimization of Federated Learning over Wireless Networks 3 years ago
GetB.m Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks 3 years ago
GetBr.m Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks 3 years ago
GetS.m Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks 3 years ago
GetSr.m Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks 3 years ago
accuracy.m Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks 3 years ago
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Net4AI 是未来（6G）内生智慧网络的两大技术发展方向之一，该方向的研究目标为充分利用网络节点的通信、计算和感知能力，通过分布式学习、群智式协同以及云边端一体化算法部署，支撑更为强大的网络智能（Network Intelligence），以实现未来各种智慧应用。本项目将对Net4AI相关论文的实现代码进行汇总，方便相关论文结果的复现，以促进该领域的健康发展。

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