Alabenba

Alabenba's Stars

• GanyuWang/VFL-CZOFO

  Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning

  Language:Python113

• JonahMiller/Stochastic-Quantization

  Language:Python1

• REIYANG/FedBCD

  Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models", accepted by AAAI Conference on Artificial Intelligence 2021.

  Language:Jupyter Notebook152

• yankang18/FedBCD

  Language:Python142

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.4k2k

• FLAIR-THU/VFLAIR

  THU-AIR Vertical Federated Learning general, extensible and light-weight framework

  Language:Python6718

• jorghyq2016/FedHSSL

  Language:Python121

• deepglint/EasyQuant

  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

  Language:Python39069

• qub-blesson/FedAdapt

  Adaptive Offloading of Federated Learning on IoT Devices

  Language:Python6515

• shaojiawei07/BottleNetPlusPlus

  Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"

  Language:Python467

• shaojiawei07/VL-VFE

  Codes for paper "Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Method"

  Language:Python499

• IoTDATALab/CNNPC

  121

• timcast725/C-VFL

  Compressed Vertical Federated Learning simulation code

  Language:Python131

• Incalos/Sales-Predict-With-LSTM

  This project involves using multi-layer LSTMs to predict the sales problem.

  Language:Jupyter Notebook111

• a-ayad/Split_ECG_Classification

  This is a code used in the paper: ""

  Language:Python42

• a-ayad/MESL

  A more communication efficient split learning mechanism introduced in the article ""

  Language:Python51

• guyuchao/DOTS

  The official implementation of "DOTS: Decoupling Operation and Topology in Differentiable Architecture Search"

  Language:Python194

• zfscgy/SplitLearning

  A simple Split Learning Framework

  Language:Python3

• h-shawn/Split-learning

  A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.

  Language:Python7

• luigicapogrosso/split_et_impera

  Official implementation of the paper "Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications" accepted @ DDECS 2023.

  Language:Python5

• ricsamikwa/RES-Things

  Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems

  Language:Python132

• waterhall/splitnn_vfl

  Configurable Split Neural Networks for Vertical Federated Learning

  Language:Python1

• khoaguin/HESplitNet

  Two-party Privacy-preserving Neural Network Training using Split Learning and Homomorphic Encryption (CKKS Scheme)

  Language:Jupyter Notebook82

• Aadit3003/split-learning-healthcare

  Split learning for privacy-preserving healthcare, and threats and defensive techniques for decentralized learning. (with Prof. Vinay Chamola)

  Language:Jupyter Notebook2

• ricsamikwa/DiSNet

  Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT

  Language:Python4

• SASA-cloud/ICWS-23-HSFL

  Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International Conference on Web Services (ICWS) 2023

  Language:Python13

• diaoenmao/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

  Language:Python13532

• zhuangdizhu/FedGen

  Code and data accompanying the FedGen paper

  Language:Python22967

• LINs-lab/FedTHE

  [ICLR 2023] Test-time Robust Personalization for Federated Learning

  Language:Jupyter Notebook473

• LINs-lab/FedBR

  [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

  Language:Python211