Federated Learning and Edge Computing Unveiled

Varun Khare is a technology entrepreneur who currently serves as the Chief Executive Officer of NimbleEdge. Varun has worked on a wide variety of machine learning research problems across reputed institutions including UC Berkeley, Max Planck Institute, Indian Institute of Technology Kanpur, and OpenMined, an open source community focused on advancing privacy-preserving technologies. His pioneering research on federated learning at OpenMined culminated in the founding of NimbleEdge, an on-device machine learning platform for real-time personalization. With his work at NimbleEdge, Varun is helping enable some of the largest consumer apps globally to deliver cost-efficient, real-time personalization in a privacy-preserving manner.

On this episode we discuss,

1. Motivation to Start: What motivated Varun to start NimbleEdge?

2. NimbleEdge’s Scope: What is NimbleEdge’s scope of features & services?

3. Market Gap Identification: What was the gap in the market that led to the genesis of NimbleEdge?

4. NimbleEdge Solution: What is NimbleEdge's solution to this problem?

5. Technology Framework: What technologies are at play to make this possible?

6. Dream11: Walk through of the real-time ML use case with Dream11

7. Future Vision: GenAI at the Edge

Links & References:

Naveen Verma- Varun Khare (LinkedIn)

Encharge - nimbleedge.com, LinkedIn

Pronojit Saha, DTM Podcast - pronojitsaha (LinkedIn), @pronojits (Twitter)