Pinned Repositories
AirComp-base-FedSplit
AirFL
codes to arxiv.org/abs/2310.10089
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
Deep-Learning-for-Beginners
Code Examples of "Deep Learning for Beginners"
Device-scheduling-for-federated-learning-over-recource-constrained-network
Device scheduling for federated learning over an recource constrained network.
federated-learning
Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习
Federated-Learning-1
An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Federated-Learning-with-Model-Quantization
Federated learning with model quantization
FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Jingyang-Zhu's Repositories
Jingyang-Zhu/AirFL
codes to arxiv.org/abs/2310.10089
Jingyang-Zhu/AirComp-base-FedSplit
Jingyang-Zhu/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
Jingyang-Zhu/Deep-Learning-for-Beginners
Code Examples of "Deep Learning for Beginners"
Jingyang-Zhu/Device-scheduling-for-federated-learning-over-recource-constrained-network
Device scheduling for federated learning over an recource constrained network.
Jingyang-Zhu/federated-learning
Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习
Jingyang-Zhu/Federated-Learning-1
An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
Jingyang-Zhu/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Jingyang-Zhu/Federated-Learning-with-Model-Quantization
Federated learning with model quantization
Jingyang-Zhu/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Jingyang-Zhu/FedML
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
Jingyang-Zhu/Gift1101
A gift for 1101
Jingyang-Zhu/Jingyang-Zhu.github.io
Jingyang-Zhu/Learning-From-Data-A-Short-Course
Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin
Jingyang-Zhu/Must-Reading-on-ISAC
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)