smallsmallstrong / Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data
This is the code for my master thesis.
☆16Updated 2 years ago
Alternatives and similar repositories for Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data:
Users that are interested in Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data are comparing it to the libraries listed below
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆129Updated 5 months ago
- Codes for FedKD☆56Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated 2 years ago
- Codes of PrivateKT☆12Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- [KDD 2023] FedMultimodal☆106Updated last year
- Track Federated Learning Papers☆29Updated this week
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆27Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆150Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 3 months ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated 4 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 3 months ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 5 months ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated last year
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆72Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- 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☆35Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆150Updated last week
- ☆23Updated 2 years ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆44Updated 8 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆52Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago