joycepy711

joycepy711's Stars

• google-parfait/tensorflow-federated

  An open-source framework for machine learning and other computations on decentralized data.

  Language:Python2.3k720581

• OpenPPL/ppq

  PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

  Language:Python1.6k17235236

• shaoxiongji/federated-learning

  A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

  Language:Python1.3k1528372

• WangRongsheng/CareGPT

  🌞 CareGPT (关怀GPT)是一个医疗大语言模型，同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型，包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

  Language:Python771920107

• google-research/federated

  A collection of Google research projects related to Federated Learning and Federated Analytics.

  Language:Python6932747196

• mightydeveloper/Deep-Compression-PyTorch

  PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

  Language:Python4151113112

• jiangyuang/PruneFL

  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".

  Language:Python811210

• MMorafah/Sub-FedAvg

  Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity

  Language:Python40225

• charleslipku/LotteryFL

  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)

  Language:Python39206

• BerivanIsik/sparse-random-networks

  Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".

  Language:Python29242

• LeiDu-dev/FedSGD

  Federated learning via stochastic gradient descent

  Language:Python29134

• pps-lab/fl-analysis

  Language:Python27541

• ciodar/deep-compression

  PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. This repository allows to reproduce the main findings of the paper on MNIST and Imagenette datasets.

  Language:Jupyter Notebook26102

• qiongwu86/AFLDDPG

  Language:Python25144

• MMorafah/Awesome-Federated-Learning-Pruning

  Every work on Federated Learning Pruning

  17101

• news-vt/Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-Design

  This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design".

  Language:Python11100

• EricLoong/feddip

  The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'

  Language:Python10100

• facebookresearch/SecureFLCompression

  Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.

  9512

• bug-code/TensorFlow_Federated-Note

  Federated learning note

  Language:Python80

• L3030/FedCyBGD

  The implement of FedCyBGD

  Language:Python8101

• ChristianInterno/AutoFLIP

  Automated Federated Learning via Informed Pruning (https://arxiv.org/abs/2405.10271)

  Language:Python7100

• lgrativol/fl_exps

  Language:Python5101

• khle08/Network-pruning-with-Simulated-Annealing

  Language:Python2100

• mlzxy/mdpi2022

  Language:Python211

• ElnathanTiokou/federated

  A framework for implementing federated learning

  Language:Python1

• lgrativol/darknet-zynq

  Accelerating DNN inference and training on Zynq

  Language:C1000

• mark-h-meng/flap

  Language:Python10

• PromiseChan/Federated-Learning

  联邦学习

  1000

• PromiseChan/fl_exps

  Language:Python1000

• PromiseChan/LHY_ML2020_Codes

  李宏毅机器学习2020课程的相关代码

  Language:Jupyter Notebook1000