JianXu95 / FedPACLinks
Simplified Implementation of FedPAC
☆59Updated last year
Alternatives and similar repositories for FedPAC
Users that are interested in FedPAC are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- ☆21Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- ☆34Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 5 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- ☆49Updated 5 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 9 months ago
- ☆77Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆49Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆90Updated 2 years ago
- ☆50Updated 3 years ago
- ☆49Updated last year
- ☆14Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- Code Implementation and Informations about FedAS☆25Updated 4 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆15Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- ☆25Updated 2 years ago
- Federated Learning in CVPR2024☆17Updated last year
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆54Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆31Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago