gdamaskinos / fleetLinks
Online Federated Learning.
☆16Updated 4 years ago
Alternatives and similar repositories for fleet
Users that are interested in fleet are comparing it to the libraries listed below
Sorting:
- Oort: Efficient Federated Learning via Guided Participant Selection☆128Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆398Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 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
- ☆96Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 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
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 4 months ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Updated 2 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
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 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
- Investigating Split Learning and Federate Learning☆84Updated 5 years ago
- ☆54Updated 4 years ago
- ☆160Updated 2 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆28Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆299Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- ☆30Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago
- ☆45Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago