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11.x

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

calm.github.io

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

clonetest

dive-into-federated-learning

Tutorials and paper lists for federated learning

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

fe-material

整理收集最有趣的前端技术教程及文档

fedavg

This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.

fedavgpy

On the Convergence of FedAvg on Non-IID Data

fedbn

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

federated-averaging-pytorch

An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

federated-learning

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

federated-learning-1

联邦学习

federated-learning-2

Implementation of FedAvg, FedProx and qFedAvg using PyTorch

federated-mutual-learning

fednova

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

fedproto

[AAAI'22]FedProto: Federated Prototype Learning across Heterogeneous Clients

fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

filter-pruning-geometric-median

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

fl-grouping

federated learning optimization

flexcfl

FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.

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