☆22Jan 25, 2023Updated 3 years ago
Alternatives and similar repositories for Hierarchical-Federated-Learning-PyTorch
Users that are interested in Hierarchical-Federated-Learning-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Personalized Client-Edge-Cloud Hierarchical Federated Learning on Non-IID Data☆11Sep 7, 2023Updated 2 years ago
- ☆17Feb 17, 2024Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆33Oct 20, 2025Updated 10 months ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆18Sep 29, 2023Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity"☆30Feb 13, 2026Updated 6 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler☆24Apr 24, 2024Updated 2 years ago
- Official codes of KDD'24 paper "HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning"☆10Sep 4, 2024Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆143Jun 7, 2020Updated 6 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆42Apr 4, 2023Updated 3 years ago
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆10Nov 19, 2021Updated 4 years ago
- ☆12Dec 14, 2019Updated 6 years ago
- Running massive simulations using RNNs on CPUs for building bots and all kinds of things.☆12Jun 13, 2021Updated 5 years ago
- A Distributed Platform Approach to Cooperative Perception based on Celluar-V2X Communication☆13Sep 23, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)☆18May 6, 2024Updated 2 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 3 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆18May 5, 2026Updated 3 months ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 6 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆48Sep 17, 2025Updated 11 months ago
- 此项目为论文《FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism》的验证项目。基于 intel SGX ,实现将各个不同模型的推测结果在可信硬件中使用 truth…☆18Oct 23, 2023Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 6 years ago
- ☆52Dec 31, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- ☆13Mar 22, 2023Updated 3 years ago
- Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"☆21Apr 2, 2024Updated 2 years ago
- ☆14Oct 15, 2022Updated 3 years ago
- [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetti…☆16Jul 26, 2024Updated 2 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- ☆10Jul 21, 2021Updated 5 years ago
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Sep 4, 2023Updated 2 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- This is an implementation demo of the IJCAI 2022 paper [Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation …☆21Nov 9, 2024Updated last year
- Code for testing DCT plus Sparse (DCTpS) networks☆14Jun 15, 2021Updated 5 years ago
- snn implementation for spike-deeplab and spike-fcn☆12Dec 31, 2022Updated 3 years ago
- ☆21Mar 7, 2024Updated 2 years ago
- 嵌入式linux的内核移植、根文件系统制作、系统启动过程、Makefile解读、make menuconfig配置等☆22Jan 7, 2018Updated 8 years ago
- A TensorFlow [2.0] implementation of ProSeNet: "Interpretable and Steerable Sequence Learning via Prototypes" (Ming et al., 2019)☆13Dec 19, 2019Updated 6 years ago