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 3 weeks ago
Alternatives and similar repositories for FedMGDA-M
Users that are interested in FedMGDA-M are comparing it to the libraries listed below
Sorting:
- ☆17Updated 5 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆40Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆29Updated 4 years ago
- ☆16Updated 2 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- ☆30Updated 3 years ago
- ☆13Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆42Updated last year
- ☆12Updated last year
- ☆66Updated 3 years ago
- Federated learning client selection☆18Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆65Updated last year
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆13Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆128Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆11Updated 4 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆24Updated 4 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆27Updated 4 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- This Matlab package solves federated learning problems via inexact ADMM☆26Updated 5 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 2 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 3 years ago
- ☆10Updated last year