euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-LearningView external linksLinks
Active Client Selection for Federated Learning
☆49Apr 18, 2023Updated 2 years ago
Alternatives and similar repositories for Active-Client-Selection-for-Communication-efficient-Federated-Learning
Users that are interested in Active-Client-Selection-for-Communication-efficient-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Federated learning client selection☆22Feb 27, 2023Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Jun 30, 2022Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆34Aug 3, 2022Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆20Dec 17, 2023Updated 2 years ago
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆10Jul 24, 2021Updated 4 years ago
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Apr 3, 2022Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆17Mar 3, 2023Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Apr 22, 2024Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 4 years ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆20Feb 4, 2025Updated last year
- ☆23Jul 19, 2021Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 2 years ago
- ☆27Oct 24, 2023Updated 2 years ago
- Simplified Implementation of FedPAC☆61Nov 30, 2023Updated 2 years ago
- Accenture Labs Federated Learning☆106Mar 13, 2024Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆73Feb 22, 2022Updated 3 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Oct 25, 2021Updated 4 years ago
- A very good course about finetune llm for beginners【大模型微调】☆28Aug 21, 2025Updated 5 months ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 2 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆131Oct 27, 2021Updated 4 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆293May 7, 2025Updated 9 months ago
- ☆33May 14, 2022Updated 3 years ago
- ☆37Updated this week
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆421Oct 26, 2024Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆32Oct 20, 2025Updated 3 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Jul 12, 2022Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Apr 4, 2023Updated 2 years ago
- Multimodal Federated Learning on IoT Data☆11Dec 17, 2023Updated 2 years ago
- ☆11Jan 23, 2024Updated 2 years ago
- Dynamic Traffic Prioritization in IoT networks using SDN (ONOS Controller and Mininet Topology)☆16Dec 9, 2017Updated 8 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- ☆12Mar 14, 2024Updated last year
- ☆12Oct 28, 2023Updated 2 years ago
- ☆35May 23, 2021Updated 4 years ago
- Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification☆10May 30, 2024Updated last year
- FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)☆37Dec 12, 2024Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆49Aug 18, 2023Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96May 9, 2022Updated 3 years ago