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edgecloud_offloading

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

evolopy

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

fbfl-a-flexible-blockchain-based-federated-learning-framework-in-mobile-edge-computing

We will implement this framework.

fddl

fed

A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.

fedadapt

Adaptive Offloading of Federated Learning on IoT Devices

fedaecs

Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing

fedcompass

[ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler

federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fedl

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

fedlab

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

fedless

Secure and Scalable Federated Learning using Serverless Computing

feel

part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"

fl-dlt3

Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT

flower-client-selection

Implementing custom client selection metrics using Flower library for federated learning.

flsim

A simulation framework for Federated Learning written in PyTorch

fl_client_selection

Federated learning client selection

fl_incentive

Contribution Measurement Experiment for Federated Learning

graph-neural-network-based-federated-learning-for-heterogenous-device-network

hadrl

Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations

harris-hawks-optimization-hho---python-code

Harris Hawks Optimization (HHO) - Python Code

hcsfl

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

hierfl

Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning

iopo

first paper project owned by Jianqiu Wu, Paper is in preparation

iov-computation-offloading

learning-based-queuing-delay-aware-task-offloading-in-collaborative-vehicular-networks

Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks

lyapunov-orientated-imphetero-reinforcement-learning

Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading

lydroo

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks