Picture for Mahdi Morafah

Mahdi Morafah

Federated Learning Client Pruning for Noisy Labels

Add code
Nov 11, 2024
Viaarxiv icon

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Add code
Sep 27, 2024
Viaarxiv icon

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

Add code
May 13, 2024
Figure 1 for Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Figure 2 for Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Figure 3 for Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Figure 4 for Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Viaarxiv icon

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

Add code
Jul 28, 2023
Figure 1 for A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Figure 2 for A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Figure 3 for A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Figure 4 for A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Viaarxiv icon

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

Add code
Sep 30, 2022
Figure 1 for Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Figure 2 for Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Figure 3 for Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Figure 4 for Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Viaarxiv icon

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Add code
Sep 21, 2022
Figure 1 for Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Figure 2 for Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Figure 3 for Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Figure 4 for Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Viaarxiv icon

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution

Add code
Aug 20, 2022
Figure 1 for FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Figure 2 for FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Figure 3 for FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Figure 4 for FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Viaarxiv icon

Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity

Add code
May 10, 2021
Figure 1 for Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Figure 2 for Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Figure 3 for Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Figure 4 for Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Viaarxiv icon