近日，一则来自中国国家电网浙江省电力有限公司的消息引发业界关注。据悉，由该公司牵头研发的国际标准《基于联邦学习的电力视觉检测系统要求和框架》在国际电信联盟（ITU）成功获批立项，这标志着世界首个电力联邦学习国际标准的诞生。
联邦学习作为一种新兴的人工智能技术，近年来在国内外得到了广泛关注。其核心优势在于能够在保护数据隐私的前提下，实现分布式协同学习，从而提高模型的准确性和泛化能力。在电力领域，联邦学习有望为电力设备监测、故障诊断、能耗优化等方面带来革命性的变革。
此次获批立项的《基于联邦学习的电力视觉检测系统要求和框架》标准，旨在规范电力视觉检测系统中联邦学习的技术要求和实施框架，为电力行业提供了一套完整的联邦学习技术解决方案。该标准将有助于推动电力行业智能化升级，提高电力系统运行效率，降低运营成本，同时保障数据安全和个人隐私。
据了解，该标准由中国国家电网浙江省电力有限公司联合多家单位共同研发，汇聚了国内外联邦学习领域的顶级专家智慧和力量。在研发过程中，团队克服了电力数据特性、视觉检测需求与联邦学习技术之间的诸多挑战，为电力视觉检测系统的联邦学习应用提供了有力支持。
该国际标准的获批立项，不仅是对中国国家电网浙江省电力有限公司在电力联邦学习领域创新成果的认可，也是对中国在人工智能领域国际影响力的肯定。未来，随着该标准的推广和应用，有望引领全球电力联邦学习技术的发展，推动全球电力行业的智能化转型。
总之，世界首个电力联邦学习国际标准的获批立项，标志着电力行业迈向智能化发展的新篇章。在联邦学习技术的助力下，电力行业将焕发出新的活力，为全球经济和社会发展注入新的动力。
英语如下：
### News Title: “State Grid Zhejiang Company Leads in Developing World’s First International Standard for Electricity Federated Learning”
### Keywords: Electricity Federated Learning, International Standard, Approved for Initiation
#### News Content:
Recently, an announcement from the State Grid Zhejiang Company, China, has attracted attention from the industry. It is learned that an international standard, “Requirements and Framework for Electricity Visual Detection Systems Based on Federated Learning,” led by the company has been successfully approved for initiation by the International Telecommunication Union (ITU). This marks the birth of the world’s first international standard for electricity federated learning.
Federated learning, as an emerging artificial intelligence technology, has received widespread attention both domestically and internationally in recent years. Its core advantage lies in its ability to enable distributed collaborative learning while protecting data privacy, thereby improving the accuracy and generalization capabilities of models. In the field of electricity, federated learning is expected to bring about revolutionary changes in aspects such as power equipment monitoring, fault diagnosis, and energy consumption optimization.
The standard, “Requirements and Framework for Electricity Visual Detection Systems Based on Federated Learning,” which has been approved for initiation, aims to standardize the technical requirements and implementation framework of federated learning in electricity visual detection systems, providing a complete technical solution for the electricity industry. This standard will help promote the intelligent upgrading of the electricity industry, improve the efficiency of power systems, reduce operating costs, and ensure data security and individual privacy.
It is understood that the standard was developed in collaboration by the State Grid Zhejiang Company and several other units, gathering the wisdom and expertise of top experts in the field of federated learning from both China and abroad. During the development process, the team overcame numerous challenges between the characteristics of electricity data, the needs of visual detection, and the technology of federated learning, providing strong support for the application of federated learning in electricity visual detection systems.
The approval of this international standard is not only recognition of the innovative achievements of the State Grid Zhejiang Company in the field of electricity federated learning but also an affirmation of China’s international influence in the field of artificial intelligence. In the future, with the promotion and application of this standard, it is expected to lead the development of global electricity federated learning technology and promote the intelligent transformation of the global electricity industry.
In summary, the approval of the world’s first international standard for electricity federated learning marks a new chapter in the intelligent development of the electricity industry. With the support of federated learning technology, the electricity industry will regain vitality and inject new momentum into the global economic and social development.
【来源】http://www.chinanews.com/gn/2024/05-16/10218072.shtml
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