dunzeng Goto Github PK

.spyder-py3

apo

Implementation of Adversarial Preference Optimization (APO)

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

backgroundjs

clash-for-linux-backup

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

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

deep-gradient-compression

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

ditto

divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

dunzeng

dunzeng.github.io

easyfl

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).

encoded-gradient-aggregation

feaderatedlearning-mxnet

graduation project

fedaware

Code for paper - Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization

fedgen

Code and data accompanying the FedGen paper

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

gnnpapers

Must-read papers on graph neural networks (GNN)

golden-note

hackintosh-deskmini310-efi

heavenms

An improved server based on MapleSolaxia (v83 MapleStory private server)

k-vib

Code for paper - Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling

library

linux-programming-interface-exercises

My solutions to The Linux Programming Interface Exercises

more

Code for paper - On Diversified Preferences of Large Language Model Alignment

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

passport

pytorchtools

stocfl

Code for paper - Stochastic Clustered Federated Learning