dos-group / fedzero
Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
β20Updated 4 months ago
Alternatives and similar repositories for fedzero:
Users that are interested in fedzero are comparing it to the libraries listed below
- Federated Learning for 5G Base Station Traffic Forecastingβ48Updated 10 months ago
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.β22Updated 4 years ago
- Simulator for modeling energy consumption in cloud, fog, and edge computing environments π±β109Updated 9 months ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.β44Updated 2 years ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'β66Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)β28Updated 2 years ago
- β10Updated 11 months ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Thingsβ52Updated 5 months ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Cheβ¦β69Updated 2 years ago
- Simulator and datasets to research on carbon-aware temporal workload shifting.β24Updated last year
- Federated Learning for Artificial Intelligence and Machine Learningβ14Updated 9 months ago
- IJCAI-Personalized Federated Learning with Graphβ51Updated last year
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Thingsβ105Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selectionβ126Updated 3 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Trainingβ12Updated last year
- This is the project for Internet-related studies.β24Updated 3 years ago
- DFL working groupβ33Updated 8 months ago
- A system to predict hourly carbon intensity in the electrical grids using machine learning. CarbonCast provides average carbon intensity β¦β36Updated 2 months ago
- NEBULA: A Platform for Decentralized Federated Learningβ23Updated this week
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clientsβ157Updated last year
- Advanced Privacy-Preserving Federated Learning frameworkβ99Updated this week
- A simulator for large energy-aware fog computing environments π±β10Updated 3 years ago
- Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dβ¦β10Updated 2 years ago
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.β15Updated last year
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"β18Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.β60Updated last month
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autogradβ23Updated 3 years ago
- Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"β31Updated 3 years ago
- [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computingβ42Updated 8 months ago
- Federated learning client selectionβ19Updated last year