Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.

You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to capture the moment on camera. But it’s already ...

Ambuj Tewari receives funding from NSF and NIH. You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient ...

Enterprises are learning the hard way: Real-time data agility isn’t a luxury for AI. It’s the backbone of anything that actually works. AI keeps making headlines, with billion-dollar investments and ...

If your brand is driving against some aggressive advertising goals in 2025 and 2026, real-time consumer data can supercharge your game plan. While utilizing up-to-the-minute data might seem like a ...

Elon Musk recently proclaimed that we have exhausted the human data available for training AI models. His warning is the latest commentary on the need for new data sources if AI is to continue its ...

This repository contains source code for GLASS implemented with PyTorch. GLASS is a unified framework designed to enhance unsupervised anomaly detection by addressing the limitations in coverage and ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...

Sara M. Tolaney, MD, MPH, discusses new data from the ASCENT-04 trial and their implications for community oncologists. Sara M. Tolaney, MD, MPH, chief of the Division of Breast Oncology and the ...