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%)

GitHub

52 stars
0 watching
6 forks
Language: Python
last commit: almost 2 years ago

Related projects:

Repository Description Stars
rong-dai/dispfl An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol. 72
samsung/veles A distributed machine learning platform for rapid Deep learning application development 905
microsoft/0xdeca10b 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
ganyuwang/vfl-czofo A unified framework for improving privacy and reducing communication overhead in distributed machine learning models. 12
lehy/ocaml-sklearn Enables machine learning with scikit-learn in OCaml 34
pouyamghari/pof-mkl An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning 0
lxcnju/fedrepo An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. 175
sjtu-marl/malib A framework for parallel population-based reinforcement learning 507
aiot-mlsys-lab/fedrolex An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. 61
hypervoyager/pfl An implementation of heterogeneous federated learning with parallel edge and server computation 17
mpc-msri/ezpc A software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis 406
cogcomp/saul A language that facilitates designing machine learning models with flexible configurations 64
fff-rs/juice A machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries. 1,114
litian96/ditto A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. 138
gingsmith/fmtl A framework for collaborative learning across multiple tasks and datasets in a distributed manner 130