ahmedcs

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

fedDCT

FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks

FederatedScope

An easy-to-use federated learning platform

Backpropagation_Free_Training_Survey

LLM_digital_twin

FLASH-RL

FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.

sys_reading

system paper reading notes

quantum-computer-systems-lectures

Vitis-Tutorials

Vitis In-Depth Tutorials

FedZoo-Bench

FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms

awesome-sdn

A awesome list about Software Defined Network (SDN)

cdmpp

ProxyFL

Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"

netaisys.github.io

openvino

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

federated-embedded-vision

tonic

A Programmable Hardware Architecture for Network Transport Logic

LFighter

This repository contains PyTorch implementation of the paper ''LFighter: Defending against Label-flipping Attacks in Federated Learning''.

PrivateFL

bf-sde-nixpkgs

Nix packaging of the Intel Tofino SDE

Open-Tofino

fabric-tna

The SD-Fabric data plane

stratum-tofino-model-test

Run multiple tofino-model software switches on the same host using Docker containers

MIAdefenseSELENA

[USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

KaiS

AzurePublicDataset

Microsoft Azure Traces

dfl-working-group

DFL working group

swarm_learning

Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020

Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey