smallsmallstrong / Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data
This is the code for my master thesis.
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆56Updated 10 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆111Updated last week
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆56Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆81Updated last year
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆34Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆99Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆65Updated 2 years ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆49Updated 10 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆22Updated 2 weeks ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆23Updated 3 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆70Updated 3 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆25Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆24Updated 6 months ago
- [KDD 2023] FedMultimodal☆80Updated last year
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- ☆28Updated last year
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆24Updated 8 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆17Updated last year
- ☆19Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆13Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆22Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆62Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆65Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 2 years ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆13Updated 4 months ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆67Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 3 months ago