Fair Resource Allocation in Federated Learning (ICLR '20)
☆253Dec 2, 2023Updated 2 years ago
Alternatives and similar repositories for fair_flearn
Users that are interested in fair_flearn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆725Mar 24, 2023Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago
- Leaf: A Benchmark for Federated Settings☆901Mar 24, 2023Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆311Apr 18, 2022Updated 3 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.
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Mar 24, 2023Updated 3 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆479Aug 1, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Apr 30, 2022Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago
- A PyTorch Implementation of Federated Learning☆1,513Jul 25, 2024Updated last year
- A simulation framework for Federated Learning written in PyTorch☆208Apr 9, 2022Updated 4 years ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,430Updated this week
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated last year
- 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.
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 6 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆751Mar 25, 2026Updated 2 weeks ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,008Sep 3, 2022Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Dec 7, 2022Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆314Jul 25, 2024Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,433May 7, 2024Updated last year
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Sep 24, 2021Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Jul 26, 2021Updated 4 years ago
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆293May 7, 2025Updated 11 months ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆729Nov 16, 2025Updated 4 months ago
- Federated Multi-Task Learning☆131Nov 11, 2018Updated 7 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆62Nov 10, 2023Updated 2 years ago
- Simulate a federated setting and run differentially private federated learning.☆389Mar 7, 2025Updated last year
- ☆21May 11, 2022Updated 3 years ago
- ☆97Oct 11, 2021Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Nov 5, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Apr 11, 2025Updated last year
- ☆170Dec 14, 2017Updated 8 years ago
- Federated posterior averaging implemented in JAX☆51Apr 13, 2023Updated 3 years ago
- Federated Learning on XGBoost☆46Oct 13, 2019Updated 6 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆229Oct 21, 2020Updated 5 years ago
- resources about federated learning and privacy in machine learning☆546Jun 26, 2024Updated last year
- Related material on Federated Learning☆26Apr 9, 2020Updated 6 years ago