Chung-ju / Federated-learning-papers
Papers related to federated learning in top conferences (2020-2024).
☆68Updated 5 months ago
Alternatives and similar repositories for Federated-learning-papers:
Users that are interested in Federated-learning-papers are comparing it to the libraries listed below
- ☆54Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆47Updated last year
- ☆77Updated 3 years ago
- ☆26Updated last year
- Simplified Implementation of FedPAC☆55Updated last year
- ☆62Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆143Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆85Updated 2 years ago
- ☆54Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 7 months ago
- ☆38Updated 4 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- ☆33Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- For distributed machine learning☆28Updated last month
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆148Updated 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"☆83Updated 3 years ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆88Updated 11 months ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- ☆157Updated 2 years ago
- ☆40Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆80Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago