What are the future trends in federated learning?

What are the future trends in federated learning?

Federated learning is evolving rapidly. Key trends include enhanced privacy measures, improved model efficiency, and increased collaboration across industries.

How will privacy be enhanced in federated learning?

Privacy will be enhanced through techniques like differential privacy and secure multi-party computation, ensuring data remains decentralized.

What industries are likely to adopt federated learning?

Industries such as healthcare, finance, and autonomous vehicles are likely to adopt federated learning for its privacy and efficiency benefits.

Are there any challenges to implementing federated learning?

Yes, challenges include data heterogeneity, communication costs, and ensuring model accuracy across diverse data sources.

What role does edge computing play in federated learning?

Edge computing enhances federated learning by processing data closer to the source, reducing latency and bandwidth usage.