A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.
☆21Jul 9, 2020Updated 5 years ago
Alternatives and similar repositories for Fed
Users that are interested in Fed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 12-752 - Data-Driven Building Energy Management (Fall 2017)☆16Dec 18, 2017Updated 8 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆20Apr 26, 2021Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆143Jun 7, 2020Updated 5 years ago
- Scripts for a university project, a simple centralized smart grid energy cost minimization problem.☆14Mar 23, 2021Updated 5 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- Very short-term analysis of wind power generation in a probabilistic forecasting framework with MATLAB (Master Thesis 2018)☆23Jan 30, 2019Updated 7 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- Source code for the paper "FedLess: Secure and Scalable Federated Learning Using Serverless Computing" (IEEE BigData 2021)☆14Jan 17, 2022Updated 4 years ago
- Smart grid pricing by reinforcement learning☆19Dec 19, 2018Updated 7 years ago
- FAST (Finally An SDDP Toolbox) is an SDDP toolbox for Matlab☆24Mar 4, 2019Updated 7 years ago
- Code for CVPR24 Paper - Resource-Efficient Transformer Pruning for Finetuning of Large Models☆12Oct 31, 2025Updated 4 months ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆292May 7, 2025Updated 10 months ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- ☆17May 10, 2020Updated 5 years ago
- [INFOCOM 2024 Top 1 Popular Article] Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration☆79Jan 1, 2025Updated last year
- Implementation of a Federated Learning based CNN model☆17Jun 10, 2020Updated 5 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆88May 22, 2023Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆95Oct 9, 2022Updated 3 years ago
- This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow…☆45Jul 23, 2020Updated 5 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆18Sep 29, 2023Updated 2 years ago
- Implementation of paper "MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning" and a t…☆20Dec 5, 2024Updated last year
- ☆54Jun 22, 2021Updated 4 years ago
- ☆10Jun 4, 2021Updated 4 years ago
- Codes for FedKD☆62Jul 18, 2022Updated 3 years ago
- Code for "Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models", ICLR 2024 Oral.☆21Feb 4, 2026Updated last month
- Migration of Edge-based Distributed Federated Learning☆25Nov 18, 2022Updated 3 years ago
- Docker container anomaly detection☆12Sep 30, 2015Updated 10 years ago
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆20Jun 17, 2021Updated 4 years ago
- Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"☆52Apr 29, 2018Updated 7 years ago
- A project from EECS6414M of Winter 2020 at York University☆11Mar 26, 2020Updated 5 years ago
- ☆14May 28, 2023Updated 2 years ago
- ☆13Aug 2, 2021Updated 4 years ago
- ☆16Feb 28, 2023Updated 3 years ago
- ☆16Mar 9, 2018Updated 8 years ago
- This project accelerates deep learning models on the edge with the support of running ensemble learning for performance improvement. The …☆11Jun 21, 2022Updated 3 years ago
- Reproduce Paper "Federated Learning with Non-IID Data"☆10May 3, 2021Updated 4 years ago
- Forecasting Demand & Supply in a renewable energy microgrid: Using Machine Learning models: LSTM, GRU & RNN☆18Jul 27, 2019Updated 6 years ago
- ☆13Sep 12, 2021Updated 4 years ago