- 🔭 I’m a PhD candidate in SMILELab, UESTC.
- 🌱 I’m currently studying on Federated Learning and Distributed Learning.
dunzeng Goto Github PK
Name: Dun Zeng
Type: User
Company: UESTC
Bio: Ph.D. candidate; SMILELab, UESTC;
Location: Shenzhen, China
Name: Dun Zeng
Type: User
Company: UESTC
Bio: Ph.D. candidate; SMILELab, UESTC;
Location: Shenzhen, China
Implementation of Adversarial Preference Optimization (APO)
Federated Learning Library: https://fedml.ai
A curated list of reinforcement learning with human feedback resources (continually updated)
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Diverse Client Selection for Federated Learning via Submodular Maximization
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
graduation project
Code for paper - Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization
Code and data accompanying the FedGen paper
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Must-read papers on graph neural networks (GNN)
An improved server based on MapleSolaxia (v83 MapleStory private server)
Code for paper - Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling
My solutions to The Linux Programming Interface Exercises
Code for paper - On Diversified Preferences of Large Language Model Alignment
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Code for paper - Stochastic Clustered Federated Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.