Federated Learning

Quick Definition

Distributed ML training without sharing raw data

Training ML models across decentralized devices without exchanging raw data, sharing only model updates.

healthcare data, mobile keyboard prediction

privacy-preserving-ai edge-ai

Crafting effective inputs to guide AI model outputs

Removing redundant neural network connections to reduce size

Learning to recognize patterns from a single example

Generative model creating data by iteratively removing noise

Standardized tests measuring AI model performance

Generative model using latent space encoding and decoding