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superjdz's Projects

cgl-gan icon cgl-gan

A distributed learning algorithm for GANs with Non-IID dataset

clusterfl icon clusterfl

Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".

communication_modulation icon communication_modulation

This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK

fed-tda icon fed-tda

The implementation of our paper Fed-TDA

fedgda-gt icon fedgda-gt

FedGDA-GT: A communication-efficient algorithm with linear convergence under federated minimax learning

fedml-gradcontrol icon fedml-gradcontrol

Research project about Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating based on the article

gnn-tutorial icon gnn-tutorial

Tutorial for NoF 2022: "Building Network Digital Twins for Next-Generation WLANs using Graph Neural Networks"

impact-of-data-freshness-in-learning icon impact-of-data-freshness-in-learning

This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".

linspeedupcode icon linspeedupcode

Our code for the ICML 2022 submission : Linear Speedup in Personalized Collaborative Learning

mimo_ofdm icon mimo_ofdm

《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

ml5g-ps-005 icon ml5g-ps-005

Digital-twin-enabled 6G: Depth Map Estimation in mmWave systems

mtfl-for-personalised-dnns icon mtfl-for-personalised-dnns

Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.

pyprobml icon pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pyramidfl icon pyramidfl

[ACM MobiCom 2022] " PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.

python icon python

All Algorithms implemented in Python

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