gachon-CCLab / FedOpsLinks
☆16Updated 3 weeks ago
Alternatives and similar repositories for FedOps
Users that are interested in FedOps are comparing it to the libraries listed below
Sorting:
- Handy PyTorch implementation of Federated Learning (for your painless research)☆448Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆685Updated 2 years ago
- ☆30Updated 2 years ago
- ☆25Updated 3 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆398Updated last year
- Leaf: A Benchmark for Federated Settings☆886Updated 2 years ago
- Simple simulation of federated learning (FedAvg) using Flower framework☆21Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆260Updated 11 months ago
- ☆46Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆728Updated 2 months ago
- ☆96Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆299Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆128Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 11 months ago
- Releasing the source code Version1.☆166Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆43Updated 9 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated last year
- Code and data accompanying the FedGen paper☆251Updated 9 months ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆223Updated last year
- A curated repository for various papers in the domain of split learning.☆54Updated 11 months ago
- ☆19Updated 3 years ago