Episode Description

Ever feel like your phone knows you a little too well? One Google search, and suddenly, ads follow you across the internet like a digital stalker. AI-powered personalization has long relied on collecting massive amounts of personal data—but what if it didn’t have to?

In this episode of Data & AI with Mukundan, we explore a game-changing shift in AI—personalized experiences without intrusive tracking. Two groundbreaking techniques, Sequential Layer Expansion and FedSelect, are reshaping how AI learns from users while keeping their data private.

We’ll break down: ✅ Why AI personalization has been broken until now ✅ How these new models improve AI recommendations without privacy risks ✅ Real-world applications in streaming, e-commerce, and healthcare ✅ How AI can respect human identity while scaling globally

The future of AI is personal, but it doesn’t have to be invasive. Tune in to discover how AI can work for you—without spying on you.

Key Takeaways

🔹 The Problem: Why AI Personalization Has Been Broken

• Streaming services, e-commerce, and healthcare AI often make irrelevant or generic recommendations.
• Most AI models collect massive amounts of user data, stored on centralized servers—risking leaks, breaches, and misuse.
• AI personalization has been a “one-size-fits-all” approach that doesn’t truly adapt to individual needs.

🔹 The Solution: AI That Learns Without Spying on You ✨ Sequential Layer Expansion – AI that grows with you

• Instead of static AI models, this method builds in layers, adapting over time.
• It learns only what’s relevant to you, reducing unnecessary data collection.
• Think of it like training for a marathon—starting small and progressively improving.

✨ FedSelect – AI that fine-tunes only what matters

• Instead of changing an entire AI model, it selectively updates the most relevant parameters.
• Think of it like tuning a car—you upgrade what’s needed instead of replacing the whole engine.
• Everything happens locally on your device, meaning your raw data never leaves.

🔹 Real-World Impact: How This Changes AI for You 🎬 Streaming Services – Netflix finally gets your taste right—without tracking you across the web. 🛍️ E-commerce – Shopping apps suggest what you actually need, not random trending items. 🏥 Healthcare – AI-powered health plans tailored to your genes and habits—without sharing your medical data.

🔹 The Bigger Picture: Why This Matters for the Future of AI

• Personalized AI at scale: AI adapts to billions of users while remaining privacy-first.
• AI that respects human identity: You control your AI, not the other way around.
• The end of surveillance-style tracking: No more creepy ads following you around.

🌟 AI can be personal—without being invasive. That’s the future we should all demand.

Fedselect: https://arxiv.org/abs/2404.02478 |

Sequential Layer Expansion:https://arxiv.org/abs/2404.17799

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