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active-client-selection-for-communication-efficient-federated-learning

Active Client Selection for Federated Learning

android-multi-module-demo

android安卓模块化开发最佳实践demo

ase

Advanced Software Engineering course materials

async-hfl

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

awesome-deep-graph-clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

awesome-federated-learning-on-graph-and-tabular-data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

bansheeengine

A free & modern multi-platform game development toolkit. It features low and high level engine systems, DirectX 11 and OpenGL support, complete asset pipeline, C# scripting support and a fully featured editor. (Note: Some systems are still a work in progress)

bias_in_fl

This is the code repository for the paper titled "Bias Propagation in Federated Learning" which was accepted to the International Conference on Learning Representations (ICLR) 2023.

bkdfedgcn

ca-fed

Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)

carlaflcav

federated learning autonomous driving in CARLA simulation

cds

A Contribution-based Device Selection Scheme in Federated Learning. We propose a shapley-based calulation method to measure contribution from FL clients.

cefhri-efficient-federated-learning

IROS Paper: CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction

centaur-privacy-federated-representation-learning

A PyTorch based repository for Federate Learning with Differential Privacy

contours

cooperative-caching-in-vec-based-on-asynchronous-fl-and-drl

creamfl

Multimodal Federated Learning via Contrastive Representation Ensemble (ICLR 2023)

d2pt

[KDD'23] Learning Strong Graph Neural Networks with Weak Information

dafkd2023

Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation

darknet

Convolutional Neural Networks

decoupleddgnn

Repository for code to reproduce the paper Decoupled Graph Neural Networks for Large Dynamic Graphs

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning

Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.