Abhishek Singh | Decentralizing Machine Learning

Foresight Institute Radio

Abhishek Singh is a Ph.D. student at MIT Media Lab. His research interests include collective intelligence, self-organization, and decentralized machine learning. The central question guiding his research is --- how can we (algorithmically) engineer adaptive networks to build anti-fragile systems? He has co-authored multiple papers and built systems in machine learning, data privacy, and distributed computing. Before joining MIT, Abhishek worked with Cisco for 2 years where he did research in AutoML and Machine Learning for systems.

An Abstract

The remarkable scaling of AI models has unlocked unprecedented capabilities in text and image generation, raising the question: why hasn't healthcare seen similar breakthroughs? While healthcare AI holds immense promise, progress has been stymied by fragmented data trapped in institutional silos. Traditional centralized approaches fall short in this domain, where privacy concerns and regulatory requirements prevent data consolidation. This talk introduces a framework for decentralized machine learning and discusses algorithms for enabling self-organization among participants with diverse resources and capabilities.

About Foresight Institute

Foresight Institute is a research organization and non-profit that supports the beneficial development of high-impact technologies. Since our founding in 1987 on a vision of guiding powerful technologies, we have continued to evolve into a many-armed organization that focuses on several fields of science and technology that are too ambitious for legacy institutions to support.

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