awesome-split-learning

A curated repository for various papers in the domain of split learning.

Split Training

Split learning for health: Distributed deep learning without sharing raw patient data

SplitFed: When Federated Learning Meets Split Learning

Advances and Open Problems in Federated Learning

Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

Advancements of federated learning towards privacy preservation: from federated learning to split learning

SplitEasy: A Practical Approach for Training ML models on Mobile Devices in a split second

FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks

Multiple Classification with Split Learning

Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction

SplitFed: When Federated Learning Meets Split Learning

End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction

Split Learning for collaborative deep learning in healthcare

ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations

Detailed comparison of communication efficiency of split learning and federated learning

No Peek: A Survey of private distributed deep learning

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention

split learning vertically

PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients

Split Inference

Interpretable Complex-Valued Neural Networks for Privacy Protection

Mitigating_Information_Leakage_in_Image_Representations_A_Maximum_Entropy_Approach

NoPeek: Information leakage reduction to share activations in distributed deep learning

PRIVATE SPLIT INFERENCE OF DEEP NETWORKS

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks

surveys

Decentralized Learning in Healthcare: A Review of Emerging Techniques

Attacks

Model Inversion Attacks Against Collaborative Inference

Unleashing the Tiger: Inference Attacks on Split Learning

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information

Attacks

EXACT: Extensive Attack for Split Learning

Code links

SplitFed: When Federated Learning Meets Split Learning

Split Neural Networks on PySyft PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients

courses

OpenMinded AI concering privacy courses