alexcaselli / Federated-Learning-for-Human-Mobility-ModelsLinks
Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobility has gain importance to offer better services …
☆45Updated 4 years ago
Alternatives and similar repositories for Federated-Learning-for-Human-Mobility-Models
Users that are interested in Federated-Learning-for-Human-Mobility-Models are comparing it to the libraries listed below
Sorting:
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆68Updated 3 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- ☆19Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- ☆17Updated 5 years ago
- ☆11Updated 4 years ago
- IJCAI-Personalized Federated Learning with Graph☆52Updated 2 years ago
- Federated Learning for 5G Base Station Traffic Forecasting☆61Updated last month
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆17Updated last year
- Contains codes for my published tutorials☆31Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks☆24Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆30Updated last year
- Communication-Efficient Feature-based Federated Transfer Learning☆14Updated last year
- LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework☆46Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- ☆54Updated 3 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆6Updated 3 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- Federated Reinforcement Learning project☆28Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago