Intel's Transition of OpenFL Primes Growth of Confidential AI
2023年3月10日 - 01:00AM
ビジネスワイヤ(英語)
LF AI & Data Foundation incubation
project has support from Penn Medicine, VMware and Flower
Labs
What’s New: Today, Intel announced that the LF AI &
Data Foundation Technical Advisory Council accepted Open Federated
Learning (OpenFL) as an incubation project to further drive
collaboration, standardization and interoperability. OpenFL is an
open source framework for a type of distributed AI referred to as
federated learning (FL) that incorporates privacy-preserving
features called confidential computing. It was developed and hosted
by Intel to help data scientists address the challenge of
maintaining data privacy while bringing together insights from many
disparate, confidential or regulated data sets.
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Intel’s federated learning hardware and
software address data privacy concerns, providing increased
confidentiality and integrity for code and data using confidential
computing. (Credit: Intel Corporation)
“We are thrilled to welcome OpenFL to the LF
AI & Data Foundation. This project's innovative approach to
enabling organizations to collaboratively train machine learning
models across multiple devices or data centers without the need to
share raw data aligns perfectly with our mission to accelerate the
growth and adoption of open source AI and data technologies. We
look forward to collaborating with the talented individuals behind
this project and helping to drive its success.” –Dr. Ibrahim
Haddad, executive director, LF AI & Data Foundation
Why It Matters: Data scientists can use this distributed
machine learning (ML) approach to enable organizations to
collaborate on mutually beneficial analyses without exposing
sensitive data or ML algorithms to other parties. Industries like
healthcare, financial services, retail and manufacturing use FL to
gain valuable insights from data in a way that securely connects
multiple systems and data sets and removes the barriers preventing
the aggregation of data for analysis.
Intel was joined by Penn Medicine, VMware and Flower Labs in
presenting OpenFL to the LF AI & Data Foundation.
Representatives from these companies will join the foundation to
form a technical steering committee for OpenFL that will foster a
vendor-neutral ecosystem for this project and make contributions
that directionally guide its development. As an incubation-stage
project with the LF AI & Data Foundation, the base for how the
project will operate is being set.
What OpenFL Is: OpenFL is a framework for federated
learning that is designed to be flexible, extensible and secure. It
allows organizations to participate in collaborative multiparty
machine learning without moving their confidential or regulated
data off-premises. Instead, the algorithm processes the data where
it resides, and then de-identified results are consolidated
centrally. No single party’s data is exposed to the other
participants.
The framework combines hardware and software to further enable
privacy-preserving AI using Intel® Software Guard Extensions
(Intel® SGX), a hardware-based trusted execution environment (TEE)
for the data center, and The Gramine Project, a set of tools and
infrastructure components for running unmodified applications on
confidential computing platforms based on Intel SGX.
Intel SGX open source integration with OpenFL is supported
today, and additional security capabilities are planned for future
releases. Integrations with other TEE hardware can also be added to
the project by contributors.
More Context: OpenFL on GitHub | Federated Learning:
Protecting Data at the Source (Intel and Penn Medicine Blog) |
Intel and Penn Medicine Announce Results of Largest Medical
Federated Learning Study (News) | VMware Research Group’s EDEN
Becomes Part of OpenFL (Blog) | LF AI & Data Foundation
Projects
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating
world-changing technology that enables global progress and enriches
lives. Inspired by Moore’s Law, we continuously work to advance the
design and manufacturing of semiconductors to help address our
customers’ greatest challenges. By embedding intelligence in the
cloud, network, edge and every kind of computing device, we unleash
the potential of data to transform business and society for the
better. To learn more about Intel’s innovations, go to
newsroom.intel.com and intel.com.
© Intel Corporation. Intel, the Intel logo and other Intel marks
are trademarks of Intel Corporation or its subsidiaries. Other
names and brands may be claimed as the property of others.
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Rebecca Want 1-650-919-4595 becky.want@ketchum.com
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