Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
☆18Jun 10, 2022Updated 4 years ago
Alternatives and similar repositories for DONE
Users that are interested in DONE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Jan 1, 2024Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29May 5, 2025Updated last year
- The code in order to implement FedProx (ICPP 2020)☆30Nov 19, 2020Updated 5 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆57Nov 29, 2020Updated 5 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆310Apr 18, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆17Feb 14, 2021Updated 5 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- This is the code for paper "AIHO: Enhancing Task Offloading and Reducing Latency in Serverless Multi-Edge-to-Cloud Systems".☆11Feb 3, 2024Updated 2 years ago
- Experiments for distributed optimization algorithms☆86May 24, 2023Updated 3 years ago
- Federated Learning over Wireless Networks☆48Sep 24, 2021Updated 5 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Mar 16, 2022Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Mar 24, 2023Updated 3 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Jul 7, 2020Updated 6 years ago
- Implementation code for the IEEE TSP paper "State-Augmented Learnable Algorithms for Resource Management in Wireless Networks."☆14Jan 3, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository consist of the codes for the results in the paper- Power control for 6g industrial wireless subnetworks: a graph neural n…☆14Jul 18, 2023Updated 3 years ago
- [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…☆16Feb 4, 2022Updated 4 years ago
- Simulator of experiments presented in "Enabling Long-term Fairness in Dynamic Resource Allocation", ACM SIGMETRICS 2023.☆13Nov 19, 2022Updated 3 years ago
- Federated_learning codes used for the the paper "Evaluation of Federated Learning Aggregation Algorithms" and "A Federated Learning Aggre…☆11Feb 17, 2021Updated 5 years ago
- code☆14Feb 22, 2023Updated 3 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- Code for the paper "Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks" as published in IEEE Transac…☆16Oct 24, 2022Updated 3 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆19Mar 16, 2022Updated 4 years ago
- Research simulation toolkit for federated learning☆14Nov 7, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Deep unfolded SCA for power allocation in wireless system☆17Mar 14, 2022Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Jul 26, 2021Updated 5 years ago
- 一门由AlphaGo项目负责人David Sliver，在UCL(伦敦大学)主讲的强化学习经典课程☆24Feb 1, 2019Updated 7 years ago
- static-dir files for a simple-server demo with ReactJS visualizations☆16Nov 28, 2018Updated 7 years ago
- A comparison of power allocation mechanisms for 5G D2D mobile communication networks☆14Jun 11, 2023Updated 3 years ago
- PyTorch Implementation of Self-Supervised Learning models☆13Apr 25, 2021Updated 5 years ago
- Solving Optimization Problems with JAX, code and PDF☆17May 30, 2020Updated 6 years ago
- ICC 2022 submit paper code☆27Nov 24, 2023Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code implementation for the paper ``Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks''.☆23Sep 16, 2022Updated 4 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 5 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- ☆20Oct 3, 2019Updated 7 years ago
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆12Apr 5, 2024Updated 2 years ago
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Mar 22, 2023Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆34Apr 23, 2023Updated 3 years ago