rruisong / FedD3Links
FedD3: Federated Learning via Decentralized Dataset Distillation
☆30Updated 2 years ago
Alternatives and similar repositories for FedD3
Users that are interested in FedD3 are comparing it to the libraries listed below
Sorting:
- Simplified Implementation of FedPAC☆59Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 11 months ago
- Pytorch implementations of some general federated optimization methods.☆43Updated 9 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- ☆15Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆51Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Accenture Labs Federated Learning☆104Updated last year
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 3 years ago
- ☆50Updated last year
- ☆77Updated 3 years ago
- ☆51Updated 7 months ago
- ☆160Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 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☆172Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆137Updated 9 months ago
- Releasing the source code Version1.☆166Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- Code and data accompanying the FedGen paper☆251Updated 9 months ago
- fully ready experiments☆38Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆153Updated 7 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆68Updated 2 years ago