WiMi Researches Reinforcement Learning-Based Blockchain Federated Learning Framework to Optimize Model Aggregation Strategy and Security

WiMi Hologram Cloud Announces Exploration of Reinforcement Learning in Federated Learning Framework

BEIJING, Nov. 8, 2024 – WiMi Hologram Cloud Inc. (NASDAQ: WiMi), a global leader in Hologram Augmented Reality (AR) technology, has announced a new initiative to integrate Reinforcement Learning (RL) into its blockchain-based federated learning framework. Reinforcement Learning, a branch of machine learning, is recognized for its powerful decision-making capabilities in complex environments and is becoming an essential tool to enhance federated learning.

Federated learning traditionally encounters challenges related to data bias and optimal timing for model aggregation. By using RL algorithms, WiMi aims to dynamically manage model aggregation timing, participant selection, and transaction costs, thereby optimizing the overall learning performance. This innovation addresses issues like information timeliness and data bias, ensuring that model updates are aggregated at the most effective intervals.

Enhancing Blockchain Transaction Efficiency with RL

One of the crucial aspects of federated learning in blockchain is transaction cost management. Blockchain transactions consume computational resources and network bandwidth, impacting cost and efficiency. Through reinforcement learning, the model can intelligently predict network conditions and dynamically adjust model aggregation. This approach optimizes learning efficiency, improves model accuracy, and reduces transaction costs.

Federated Learning Framework Applications Across Key Sectors

The application of RL within a blockchain-based federated learning framework could transform several sectors, including healthcare, financial services, and the Internet of Things (IoT). In healthcare, the model could enable secure data sharing among hospitals, research institutions, and patients, supporting faster diagnostics while ensuring privacy. In finance, the technology may facilitate better risk management and credit assessment models. IoT networks, meanwhile, stand to benefit from intelligent device collaboration, which can improve responsiveness and network intelligence.

WiMi’s advancement in integrating RL into blockchain-based federated learning frameworks is an innovative approach at the intersection of artificial intelligence, blockchain, and machine learning. It addresses critical issues of trust, security, and efficiency in traditional federated learning, positioning the framework for broader industry application as research progresses.

About WiMi Hologram Cloud

WiMi Hologram Cloud Inc. is a comprehensive provider of holographic AR technology, specializing in sectors such as automotive HUD software, holographic pulse LiDAR, head-mounted holographic equipment, and semiconductor solutions. The company’s wide range of services also includes interactive holographic communication, AR advertising, ARSDK payment, and other holographic solutions.