The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).
☆16May 27, 2020Updated 6 years ago
Alternatives and similar repositories for FedCL
Users that are interested in FedCL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Oct 9, 2019Updated 6 years ago
- Federated Learning - PyTorch☆15Jun 27, 2021Updated 5 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)☆35Sep 29, 2019Updated 6 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement☆10Mar 25, 2024Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆19Jan 2, 2024Updated 2 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- This is the official implementation of VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Mode…☆17Mar 4, 2025Updated last year
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated 2 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 6 years ago
- Federated Learning Based Dynamic Regularization☆18Jun 2, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆733Mar 24, 2023Updated 3 years ago
- The python codes implement the EV charging problem as static and dynamic optimization problem. The optimizers try to maximize the revenue…☆15Jun 18, 2016Updated 10 years ago
- ☆12Jul 30, 2024Updated last year
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆117Jun 2, 2021Updated 5 years ago
- I synthesized a Robust MIMO controller to reduce the frequency deviations in a smart microgrid system which enjoys attached storage. Freq…☆18Jan 29, 2021Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆187Mar 16, 2021Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- Breast Cancer Detection using Mask-rcnn on the inbreast dataset☆13Dec 13, 2023Updated 2 years ago
- ☆29May 26, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 3 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆273Nov 13, 2025Updated 8 months ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆80Aug 15, 2020Updated 5 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆34Jul 20, 2019Updated 7 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆29Mar 7, 2024Updated 2 years ago
- ☆12Oct 26, 2023Updated 2 years ago
- A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…☆13Apr 19, 2024Updated 2 years ago
- AI in Healthcare Specialization☆12Aug 10, 2023Updated 2 years ago
- privacy preserving deep learning☆15Sep 11, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23May 25, 2022Updated 4 years ago
- MATLAB code to obtain the optimal storage size for grid level energy storage to tackle intermittent renewable energy sources☆23Jun 4, 2016Updated 10 years ago
- Official Implementation of "Learning to Refuse: Towards Mitigating Privacy Risks in LLMs"☆10Dec 13, 2024Updated last year
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆198Feb 14, 2023Updated 3 years ago
- FedBERT : A federated approach that enables clients with limited computing resource to participate without violating data privacy.☆14Jul 3, 2023Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Nov 7, 2022Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago