Hello! I am Aparna, a Research Scientist with Privacy Preserving Machine Learning team which establishes state-of-the-art scientific advancements for Meta’s products and systems. I did my PhD at Purdue University, where I worked on developing Decentralized Federated Learning algorithms for heterogeneous data distributions with Professor Kaushik Roy. In addition, I also explored efficient decentralized learning algorithms designed to reduce computational, memory, and communication overhead. My current research interests include on-device learning, model personalization and private evolution.
You can access the list of my publications under the research page and my resume under the resume page.
Posts
Stochastic Gradient Push (SGP)
Decentralized Parallel Stochastic Gradient Descent (D-PSGD)
Gossip Averaging
Decentralized Learning
Introduction to Federated Learning
subscribe via RSS