FLASH - Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
Offered By: USENIX via YouTube
Course Description
Overview
Explore a groundbreaking conference talk on FLASH, a high-performance hardware acceleration architecture designed for cross-silo federated learning systems. Delve into the innovative approach of extracting and implementing two basic operators—modular exponentiation and multiplication—as highly efficient engines to achieve adequate acceleration for nine widely-used cryptographic operations. Learn about the dataflow scheduling scheme that dynamically composes different cryptographic operations, maximizing resource utilization. Discover the impressive performance gains achieved by FLASH, including up to 14.0× and 3.4× acceleration over CPU and GPU respectively, and its integration with FATE, the most widely-adopted cross-silo FL framework. Gain insights into the potential of FLASH as an ASIC, offering a 23.6× performance improvement upon the FPGA prototype.
Syllabus
NSDI '23 - FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo...
Taught by
USENIX
Related Courses
Secure and Private AIFacebook via Udacity Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Big Data for Reliability and Security
Purdue University via edX MLOps for Scaling TinyML
Harvard University via edX Edge Analytics: IoT and Data Science
LinkedIn Learning