Galaxy Federated Learning Framework （星际联邦学习框架）

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming

Flower-based Privacy-Preserving Federated Learning with secure aggregation using Carbyne Stack

Federated Split Learning via Smashed Activation Gradient Estimation

Federated Learning with Byzantine Fault Tolerance

Federated Learning for Respiratory Disease Classification from Audio Recordings in a Pandemic Scenario

Advised by Prof. Jungmin So - spring '23

Federated learning for wearable stress detection. Adds differential privacy, homomorphic encryption, and device authentication on top, so no one's raw data or their participation in the study ever leaves their device.

A concise demo repository showcasing a simplified, educational implementation of a blockchain‐driven federated learning workflow (using logistic regression) based on our recent paper. Includes encrypted model‐weight transactions, proof‐of‐work mining, and a basic complaint‐handling framework.