xry21xdj / FedMGDA-MLinks
This is the code for paper “accelerating communication-efficient federated multi-task learning with personalization and Fairness”. Besides, we compared them with other accelerated methods: FedMom FedNAG FedAdam DOMO FastSlowMo Mime, FedMoS, FedGLOMO
☆10Updated 6 months ago
Alternatives and similar repositories for FedMGDA-M
Users that are interested in FedMGDA-M are comparing it to the libraries listed below
Sorting:
- ☆66Updated 4 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Updated 3 years ago
- ☆17Updated 5 years ago
- ☆14Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆94Updated 3 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆51Updated last year
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆137Updated 5 years ago
- Federated Learning over Wireless Networks☆46Updated 4 years ago
- ☆32Updated 3 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Updated 4 years ago
- ☆13Updated 2 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆16Updated last year
- D-DQN Reinforcement Learning for device selection in Federated Learning☆42Updated 2 years ago
- Releasing the source code Version1.☆173Updated 4 years ago
- Federated learning client selection☆19Updated 2 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆29Updated 11 months ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆28Updated 4 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆286Updated 6 months ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 3 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- ☆11Updated 4 years ago
- ☆11Updated 2 years ago
- This repository implements FEDL using pytorch☆56Updated 5 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- ☆25Updated 2 years ago