bibikar / feddst
Federated Dynamic Sparse Training
☆30Updated 2 years ago
Alternatives and similar repositories for feddst:
Users that are interested in feddst are comparing it to the libraries listed below
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆28Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆42Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Code for ScaleFL☆31Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 6 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆25Updated 2 years ago
- ☆23Updated 3 years ago
- Every work on Federated Learning Pruning☆17Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 4 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- ☆29Updated 5 years ago
- ☆54Updated 3 years ago
- ☆75Updated 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
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆15Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆16Updated 2 years ago
- Simplified Implementation of FedPAC☆52Updated last year
- Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered d…☆11Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 3 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- ☆28Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 5 months ago