Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data
☆17Jul 28, 2020Updated 5 years ago
Alternatives and similar repositories for Hierarchical-Federated-Learning-Quantization
Users that are interested in Hierarchical-Federated-Learning-Quantization are comparing it to the libraries listed below
Sorting:
- The Code for Homeomorphic Projection☆13Sep 21, 2023Updated 2 years ago
- ☆10Apr 25, 2024Updated last year
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago
- Blockchain federated learning simulate by python☆10May 29, 2023Updated 2 years ago
- The official Languini Kitchen repository☆14May 6, 2024Updated last year
- PyTorch Implementation for InMaP☆11Oct 28, 2023Updated 2 years ago
- ☆10Mar 25, 2024Updated last year
- An example of using ADMM method to solve a consensus problem☆10Oct 24, 2017Updated 8 years ago
- Thermal rating calculations of power transmission lines in Python.☆12Feb 3, 2021Updated 5 years ago
- 我收藏的机器学习相关文集☆13Feb 28, 2026Updated last week
- Python module for simulating gossip learning.☆40Jan 25, 2024Updated 2 years ago
- Code for Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition☆12Jun 17, 2020Updated 5 years ago
- Code and results of the academic publication "Blockchain-enabled Network Sharing for O-RAN"☆11Jan 10, 2022Updated 4 years ago
- Numpy extension for finding the first element in an 1D array fullfilling a given condition☆11Feb 24, 2026Updated last week
- ☆13Mar 11, 2018Updated 7 years ago
- ☆13Sep 1, 2023Updated 2 years ago
- ☆19Jul 31, 2025Updated 7 months ago
- Implementations of the XNOR networks☆12Aug 9, 2017Updated 8 years ago
- An FL algorithm inspired by FedGMA☆10Oct 21, 2023Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Jun 9, 2022Updated 3 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Aug 12, 2020Updated 5 years ago
- ☆11Jun 20, 2023Updated 2 years ago
- A method to search for a subset of best performing items wrt black-box reward function☆15Jun 7, 2019Updated 6 years ago
- A blockchain-enable decentralized federated learning implement☆13Jul 10, 2023Updated 2 years ago
- ☆10Feb 1, 2022Updated 4 years ago
- ☆17Mar 25, 2024Updated last year
- ☆14May 5, 2023Updated 2 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆12Nov 2, 2022Updated 3 years ago
- ☆10Apr 7, 2021Updated 4 years ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated last year
- Unofficial Scalable-Softmax Is Superior for Attention☆20May 30, 2025Updated 9 months ago
- Blockchain federated learning☆14Sep 26, 2022Updated 3 years ago
- Trusted execution experiments with Intel SGX☆11Jun 17, 2020Updated 5 years ago
- A variational autoencoder for text processing using 1D convolutions and the FastText word embeddings☆12Dec 11, 2022Updated 3 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Aug 15, 2019Updated 6 years ago
- [IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning☆20Dec 4, 2025Updated 3 months ago
- ☆14Feb 7, 2020Updated 6 years ago
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated 2 years ago
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆13Apr 15, 2024Updated last year