Pinned Repositories
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电商站首页布局 - HTML&CSS实战
Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
SCAFFOLD and FedAvg implementation
ACM
ACM模板和一些题目的代码实现
article
article2
asynchronous-federated-learning
Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
Asynchronous-Federated-Learning-on-Hierarchical-Clusters
CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggregator device is selected to enable hierarchical learning, leads to efficient communication between server and workers, while allowing heterogeneity.
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
tao-shen.github.io
联邦学习FAQ
ms116's Repositories
ms116/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
SCAFFOLD and FedAvg implementation
ms116/article
ms116/article2
ms116/asynchronous-federated-learning
Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
ms116/Asynchronous-Federated-Learning-on-Hierarchical-Clusters
CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggregator device is selected to enable hierarchical learning, leads to efficient communication between server and workers, while allowing heterogeneity.
ms116/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
ms116/awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
ms116/carrot
这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点
ms116/Dive-into-Federated-Learning
Tutorials and paper lists for federated learning
ms116/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
ms116/FedBN
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
ms116/Federated-Averaging-PyTorch
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
ms116/federated-learning
Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习
ms116/Federated-Learning-1
联邦学习
ms116/federated-learning-2
Implementation of FedAvg, FedProx and qFedAvg using PyTorch
ms116/fedproto
[AAAI'22]FedProto: Federated Prototype Learning across Heterogeneous Clients
ms116/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
ms116/filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
ms116/fl-grouping
federated learning optimization
ms116/FlexCFL
FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
ms116/flPapers
Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
ms116/focal_calibration
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
ms116/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
ms116/MentoHUST-GZHU
目前GZHU能用的MentoHUST（适用于 MT7620 似乎在openwrt上会出现二进制文件no found的问题，PandoraBox上可用正常使用）
ms116/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
ms116/openfl
An open framework for Federated Learning.
ms116/PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
ms116/SCAFFOLD-PyTorch
Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
ms116/typora_Pic
ms116/vue-manage-system
基于Vue3 + Element Plus 的后台管理系统解决方案