A FAIR Bridge2AI Center (FABRIC)

公平的 Bridge2AI 中心 (FABRIC)

• 批准号: 10895014
• 负责人: LUCILA OHNO-MACHADO
• 金额: $ 61.01万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10895014
• 关键词: Administrative Personnel; Administrative Supplement; Award; Bridge to Artificial Intelligence; Collaborations; Core Assembly; Data; Event; Face; Fostering; Funding; Generations; Human Resources; Individual; Institution; Joints; Logistics; Participant; Persons; Play; Role; Science; United States National Institutes of Health; Work; meetings; programs

Administrative Supplement Proposal Summary Face-To-Face (F2F) meetings play an important role for the Bridge2AI (B2AI) Consortium to foster connection and collaboration. The Administrative Core of the Bridge Center is proposing to oversee the logistics and host, in collaboration with the NIH, up to two F2F B2AI Consortium meetings (one larger than the other) each year for three consecutive years, starting in 2023 for designated representatives of the NIH, the six Center Cores, and the four Data Generation Projects (DGPs). This proposal includes support for up to six F2F program or consortium meetings from 2023 to 2026. Leaders and key personnel of the Administrative Core have a long track record of organizing large scientific encounters for various awards, which engaged individuals with diverse background from multiple institutions to join force on advancing science. We will work closely with leaders from the NIH, Bridge Center, and DGPs to plan, manage, host successful F2F meetings. The award to the Bridge Center, and to the Administrative Core in particular, did not include funds for a consortium-wide in person meeting of the magnitude here proposed. For this reason, we are requesting a supplement that covers the meeting venue with the sufficient technical features and personnel support on logistics and event management. The plans moving forward are for up to two meetings a year—one is the annual program meeting, and the other is the relatively smaller bi-annual consortium meeting. The number and roles of participants for each meeting will be decided by a joint planning committee we assemble from Core, DGP and NIH representatives.

行政补充建议摘要

项目成果

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics

• DOI: 10.48550/arxiv.2308.11027
• 发表时间: 2023-08
• 期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
• 作者: Zhuohang Li;Chao Yan;Xinmeng Zhang;Gharib Gharibi;Zhijun Yin;Xiaoqian Jiang;B. Malin