Accenture / Labs-Federated-LearningLinks
Accenture Labs Federated Learning
☆104Updated last year
Alternatives and similar repositories for Labs-Federated-Learning
Users that are interested in Labs-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆131Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Code and data accompanying the FedGen paper☆251Updated 11 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- ☆178Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆173Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆50Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆221Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆269Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 5 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- ☆79Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆85Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆161Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 9 months ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- ☆32Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- ☆96Updated 3 years ago