AIoT-MLSys-Lab / FedRolexLinks
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang
☆62Updated 9 months ago
Alternatives and similar repositories for FedRolex
Users that are interested in FedRolex are comparing it to the libraries listed below
Sorting:
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- Simplified Implementation of FedPAC☆59Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆167Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- ☆77Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Code for ScaleFL☆30Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- ☆66Updated 8 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆31Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 8 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- ☆25Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- ☆49Updated 5 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- ☆19Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago