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: over 3 years ago

Related projects:

RepositoryDescriptionStars
rong-dai/dispflAn implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.72
samsung/velesA distributed machine learning platform for rapid Deep learning application development905
microsoft/0xdeca10bA 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-czofoA unified framework for improving privacy and reducing communication overhead in distributed machine learning models.12
lehy/ocaml-sklearnEnables machine learning with scikit-learn in OCaml34
pouyamghari/pof-mklAn implementation of an online federated learning algorithm with multiple kernels for personalized machine learning0
lxcnju/fedrepoAn open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.175
sjtu-marl/malibA framework for parallel population-based reinforcement learning507
aiot-mlsys-lab/fedrolexAn approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.61
hypervoyager/pflAn implementation of heterogeneous federated learning with parallel edge and server computation17
mpc-msri/ezpcA software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis406
cogcomp/saulA language that facilitates designing machine learning models with flexible configurations64
fff-rs/juiceA machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries.1,114
litian96/dittoA framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.138
gingsmith/fmtlA framework for collaborative learning across multiple tasks and datasets in a distributed manner130