fed-multimodal

Multimodal Fed Learner

An open source framework for multimodal federated learning applications with various action recognition and emotion recognition models.

[KDD 2023] FedMultimodal

GitHub

80 stars
5 watching
11 forks
Language: Python
last commit: over 1 year ago
action-recognitionemotion-recognitionfederated-learningmultimodal-learning

Related projects:

Repository Description Stars
mediabrain-sjtu/feddisco A federated learning framework with discrepancy-aware collaboration for decentralized data training 65
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 154
aiot-mlsys-lab/fedrolex An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. 61
harliwu/fedamd This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. 2
pengyang7881187/fedrl Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data 54
hmgxr128/mifa_code An implementation of Fast Federated Learning under device unavailability for minimizing latency and achieving optimal convergence rates 9
mediabrain-sjtu/fedgela Federated learning algorithm designed to handle partially class-disjoint data by utilizing bilateral curation and Dirichlet partitioning. 10
mediabrain-sjtu/pfedgraph This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets. 26
federatedai/fedvision A federated learning platform for computer vision tasks using PaddleFL and PaddleDetection 112
lyn1874/fedpvr An implementation of a federated learning algorithm for handling heterogeneous data 6
zlz0414/feddar A framework for federated representation learning with domain awareness in multi-model scenarios. 2
federatedai/fate-client Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner. 3
bdemo/pfedbred_public A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models 8
hongyouc/fed-rod Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks. 14
diogenes0319/fedmd_clean An implementation of a heterogenous federated learning framework using model distillation. 149