Dun Zeng's Projects
Implementation of Adversarial Preference Optimization (APO)
Federated Learning Library: https://fedml.ai
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
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Code for paper - Stochastic Clustered Federated Learning
**海洋大学本科毕业论文LaTeX模版 OUC Undergraduate Thesis LaTeX Template
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes