Hanlin Zhou's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
一个安卓简单备忘录(demo)
Awesome LLM compression research papers and tools.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Reproduce CKA: Similarity of Neural Network Representations Revisited
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Data-Free Ensemble Selection For One-Shot Federated Learning
Code for the paper "Training Diffusion Models with Reinforcement Learning"
Official PyTorch implementation of DENSE (NeurIPS 2022)
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities.
An Easy-to-use Knowledge Editing Framework for LLMs.
CVPR2022 - Learn From Others and Be Yourself in Heterogeneous Federated Learning
This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity".
An easy-to-use federated learning platform
Official Code for FedGCN [NeurIPS 2023]
FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)
FedMD: Heterogenous Federated Learning via Model Distillation
Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
The official code of the paper: Model-Heterogeneous Federated Graph Learning with Prototype Propagation Network
[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang