ramshi236 / Multi-Armed-Bandit-Based-Client-Scheduling-for-Federated-LearningLinks
Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning
☆17Updated 4 years ago
Alternatives and similar repositories for Multi-Armed-Bandit-Based-Client-Scheduling-for-Federated-Learning
Users that are interested in Multi-Armed-Bandit-Based-Client-Scheduling-for-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆27Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- This repository implements FEDL using pytorch☆56Updated 4 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆70Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- ☆22Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- Federated Learning over Wireless Networks☆46Updated 4 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- Federated Learning package☆21Updated 4 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated 2 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- ☆32Updated 3 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆42Updated 2 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 2 years ago
- ☆24Updated last year
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 2 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 3 years ago
- Investigating Split Learning and Federate Learning☆85Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- ☆17Updated 5 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆93Updated 3 years ago