Ivana Dusparic

Clustering clients based on local novelty signals can revolutionize federated learning by enabling efficient and autonomous collaboration without the need for extensive computational resources.

LLMs can guide multi-objective reinforcement learning to achieve balanced trade-offs in complex systems like urban traffic control, sidestepping the need for hand-engineered reward functions.