Efficient Protocol

Efficient protocols are being actively researched across diverse fields to optimize various processes, from machine learning to distributed systems. Current work focuses on developing theoretically grounded protocols that maximize performance while mitigating issues like catastrophic forgetting in continual learning, ensuring safety and robustness in AI deployment, and guaranteeing mutual benefit in federated learning. These advancements leverage techniques such as optimal control theory, game theory, and reinforcement learning, impacting areas ranging from AI safety and privacy-preserving data analysis to the design of robust and efficient communication networks.