KarhouTam / FedRecon
PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning
☆12Updated 2 years ago
Alternatives and similar repositories for FedRecon:
Users that are interested in FedRecon are comparing it to the libraries listed below
- Implementation of Improving Federated Learning Personalization via Model Agnostic Meta Learning☆9Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆140Updated 5 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆47Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆32Updated 2 years ago
- ☆40Updated 3 years ago
- ☆16Updated 3 years ago
- ☆23Updated last year
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆102Updated 3 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- ☆14Updated last year
- Official Code for PACFL AAAI 2023☆39Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 5 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ☆25Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆53Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 7 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆70Updated 2 years ago
- ☆26Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆59Updated last month
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆38Updated 2 years ago