alpemreacar / FedDynView external linksLinks
☆84Jan 6, 2022Updated 4 years ago
Alternatives and similar repositories for FedDyn
Users that are interested in FedDyn are comparing it to the libraries listed below
Sorting:
- Federated Learning Based Dynamic Regularization☆18Jun 2, 2021Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Mar 22, 2022Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆300Jun 27, 2022Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆77Jan 10, 2026Updated last month
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Oct 21, 2020Updated 5 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆24Jun 22, 2022Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆720Mar 24, 2023Updated 2 years ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Jun 28, 2022Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆18Jan 10, 2024Updated 2 years ago
- ☆72Dec 8, 2025Updated 2 months ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41May 21, 2021Updated 4 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆27Oct 27, 2023Updated 2 years ago
- ☆164Dec 23, 2022Updated 3 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Feb 5, 2022Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Dec 5, 2021Updated 4 years ago
- ☆183Mar 14, 2023Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Feb 26, 2024Updated last year
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- ☆16Feb 28, 2023Updated 2 years ago
- ☆16May 18, 2023Updated 2 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆821Oct 20, 2025Updated 3 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- ☆96Oct 11, 2021Updated 4 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆53Mar 21, 2022Updated 3 years ago
- fully ready experiments☆38Jul 18, 2022Updated 3 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- ☆35May 23, 2021Updated 4 years ago
- ☆43Dec 8, 2021Updated 4 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- ☆50Apr 1, 2023Updated 2 years ago
- ☆18Nov 1, 2025Updated 3 months ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆197Feb 14, 2023Updated 3 years ago
- ☆117Feb 27, 2023Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆73Feb 22, 2022Updated 3 years ago
- ☆23Jul 19, 2021Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Jul 1, 2022Updated 3 years ago