yuetan031 / FedProtoLinks
[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
☆175Updated 3 years ago
Alternatives and similar repositories for FedProto
Users that are interested in FedProto are comparing it to the libraries listed below
Sorting:
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆150Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- ☆84Updated 4 years ago
- Code and data accompanying the FedGen paper☆258Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆300Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- Simplified Implementation of FedPAC☆61Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- ☆183Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- ☆164Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆19Updated 3 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- ☆75Updated 5 years ago
- Official Code for PACFL AAAI 2023☆45Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆77Updated last month
- Accenture Labs Federated Learning☆106Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Updated 2 months ago
- fully ready experiments☆38Updated 3 years ago