OnizukaLab / FedMeasure
☆17Updated last year
Alternatives and similar repositories for FedMeasure
Users that are interested in FedMeasure are comparing it to the libraries listed below
Sorting:
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last week
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆17Updated 3 years ago
- ☆34Updated 3 years ago
- ☆30Updated 2 years ago
- ☆29Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆89Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆151Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Codes for FedKD☆57Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 8 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 9 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆21Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆57Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- Accenture Labs Federated Learning☆100Updated last year
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- ☆23Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆173Updated 4 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 11 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year