kiddyboots216 / CommEfficientLinks
PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
☆78Updated 3 years ago
Alternatives and similar repositories for CommEfficient
Users that are interested in CommEfficient are comparing it to the libraries listed below
Sorting:
- ☆54Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆162Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆219Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 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
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 10 months ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 4 months ago
- ☆96Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆58Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆77Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆339Updated 3 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆49Updated 2 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆31Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Code and data accompanying the FedGen paper☆251Updated 9 months ago