Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
☆43Oct 6, 2021Updated 4 years ago
Alternatives and similar repositories for Sub-FedAvg
Users that are interested in Sub-FedAvg are comparing it to the libraries listed below
Sorting:
- Every work on Federated Learning Pruning☆23Feb 10, 2023Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96May 9, 2022Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆44Nov 16, 2022Updated 3 years ago
- ☆22Apr 6, 2021Updated 4 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Jun 15, 2020Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- [IJCNN 2021] FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning☆11Aug 21, 2021Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Jul 12, 2022Updated 3 years ago
- The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'☆14Aug 16, 2024Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Jun 5, 2021Updated 4 years ago
- Shamir Secret Sharing library☆17Nov 22, 2022Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Feb 26, 2024Updated 2 years ago
- ☆14Mar 5, 2021Updated 4 years ago
- Federated Principal Component Analysis Revisited!☆43Nov 1, 2021Updated 4 years ago
- Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.☆17Nov 26, 2020Updated 5 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- ☆40Sep 25, 2023Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Nov 13, 2022Updated 3 years ago
- [MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning☆17Mar 23, 2022Updated 3 years ago
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40May 9, 2023Updated 2 years ago
- ☆19Jan 8, 2021Updated 5 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Nov 17, 2022Updated 3 years ago
- Asynchronous Federated Learning☆20Oct 5, 2021Updated 4 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60May 9, 2023Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆23Apr 3, 2021Updated 4 years ago
- ☆29Dec 22, 2022Updated 3 years ago
- Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection☆31Apr 11, 2022Updated 3 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆29Jan 24, 2023Updated 3 years ago
- The code in order to implement FedProx (ICPP 2020)☆29Nov 19, 2020Updated 5 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Jul 11, 2023Updated 2 years ago