bibikar / feddstLinks
Federated Dynamic Sparse Training
☆30Updated 3 years ago
Alternatives and similar repositories for feddst
Users that are interested in feddst are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- Code for ScaleFL☆29Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- ☆22Updated 4 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 11 months ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆18Updated 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
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- ☆77Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆17Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- Pytorch implementations of some general federated optimization methods.☆43Updated 9 months ago
- ☆160Updated 2 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆13Updated last year
- ☆30Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- ☆54Updated 4 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago