zza234s
Hope the world is peaceful and everyone can be happy.
Zhejiang University of TechnologyHangzhou
Pinned Repositories
FedGGR
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AndroidSimpleMemo
一个安卓简单备忘录(demo)
Awesome-LLM-Compression
Awesome LLM compression research papers and tools.
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
FedGCN
Official Code for FedGCN [NeurIPS 2023]
FedPPN
The official code of the paper: Model-Heterogeneous Federated Graph Learning with Prototype Propagation Network
High-quality-Figure-
High-Quality Figure Recods about Federated Learning. 联邦学习论文好看的图记录
ICLR2022
Towards model-agnostic federated learning using knowledge distillation, ICLR 2022
MHFL
This is an evaluation work for model heterogeneous federated learning
zza234s's Repositories
zza234s/ICLR2022
Towards model-agnostic federated learning using knowledge distillation, ICLR 2022
zza234s/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
zza234s/BDSC_Task_2
zza234s/Cost-Aware
zza234s/CPF
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
zza234s/CYNET
zza234s/DENSE
Official PyTorch implementation of DENSE (NeurIPS 2022)
zza234s/FCCL
CVPR2022 - Learn From Others and Be Yourself in Heterogeneous Federated Learning
zza234s/fedaux
zza234s/federated-learning-public-code
zza234s/Federated-Mutual-Learning
zza234s/FedMD_clean
FedMD: Heterogenous Federated Learning via Model Distillation
zza234s/FedNH
Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes
zza234s/FedPCL
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
zza234s/FedProto
[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
zza234s/FedRolex
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang
zza234s/FlexiFed
zza234s/flower
Flower: A Friendly Federated Learning Framework
zza234s/FSMAFL
paper code commit-fsmafl
zza234s/graphless-neural-networks
[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
zza234s/key-book
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。在线阅读地址:https://datawhalechina.github.io/key-book/
zza234s/LearnPrompt
zza234s/MolDQN-pytorch
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
zza234s/PromptFL
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
zza234s/ProtGNN
Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
zza234s/Pytorch_FedMD
zza234s/Robust_FL
zza234s/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
zza234s/SGGTS-ASQE
zza234s/the-algorithm
Source code for Twitter's Recommendation Algorithm