huhu37

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

SJTUBeamer

上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University

AI-Security-Resources

This Github repository summarizes a list of research papers on AI security from the four top academic conferences.

FedGKD

Federated-Learning-Non-IID

Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn

MOON

Model-Contrastive Federated Learning (CVPR 2021)

HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

FedADMM

SPDL

Blockchain-secured and Privacy-preserving Decentralized Learning

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

tvm-cn

TVM Documentation in Chinese Simplified / TVM 中文文档

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

papi

simple_blockchain

Simple blockchain simulation as distributed system using gRPC for communication mechanism between nodes

DRL

Deep Reinforcement Learning

PFLlib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

FedALA

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

FedRolex

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

SplitMix

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

Fling

FCRL

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

flsim

A simulation framework for Federated Learning written in PyTorch

CoCoFL

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization

PerFedMask