MocoSFL
Collaborative SSL framework
An implementation of a collaborative SSL framework based on Split Federated Learning (SFL) to reduce FLOPs and memory requirements for self-supervised learning.
Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)
52 stars
0 watching
6 forks
Language: Python
last commit: over 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol. | 72 | |
| A distributed machine learning platform for rapid Deep learning application development | 905 | |
| A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 | |
| A unified framework for improving privacy and reducing communication overhead in distributed machine learning models. | 12 | |
| Enables machine learning with scikit-learn in OCaml | 34 | |
| An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning | 0 | |
| An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 175 | |
| A framework for parallel population-based reinforcement learning | 507 | |
| An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. | 61 | |
| An implementation of heterogeneous federated learning with parallel edge and server computation | 17 | |
| A software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis | 406 | |
| A language that facilitates designing machine learning models with flexible configurations | 64 | |
| A machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries. | 1,114 | |
| A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 | |
| A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 130 |