Select a calendar:
Filter April Events by Event Type:
Events for April 15, 2025
-
PhD Thesis Proposal - Sara Babakniya
Tue, Apr 15, 2025 @ 12:00 PM - 01:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Foundational Studies of Privacy and Efficiency in Federated Machine Learning
Date and Time: Tuesday, April 15th, 2025 - 12:00p - 1:30p
Location: EEB539
Committee Members: Prof. Salman Avestimehr (Chair), Prof. Harsha V. Madhyastha, Prof. Jose-Luis Ambite, Prof. Sai Praneeth Karimireddy, Prof. Mahdi Soltanolkotabi
Abstract: Federated learning (FL) enables collaborative model training across distributed devices while preserving user data privacy. However, deploying FL in practice has challenges, such as limited client resources, communication overhead, privacy concerns, and data heterogeneity.
My research addresses these fundamental barriers by developing general and adaptable frameworks that make FL more efficient and scalable in real-world environments. First, I discuss catastrophic forgetting in federated class-incremental learning, where a client's local data distribution may shift over time. I propose a data-free generative replay framework that does not require extra data storage or sharing from the clients. Then, I present my work that explores how to reduce the communication and computation costs of federated training while preserving model performance. I show that we can incorporate sparse learning to reduce costs, but we must carefully coordinate the local and global sparsity patterns.
Building on my prior knowledge of privacy and efficiency, I propose an efficient method to fine-tune language models on edge data. The state-of-the-art language models have been trained on the majority of the available public data. Therefore, these models need to be trained on the users' private data to improve their performance further. I investigate how we can move towards this goal without compromising privacy or efficiency.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Sara Babakniya
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Epstein Institute, ISE 651 Seminar Class
Tue, Apr 15, 2025 @ 03:30 PM - 04:30 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Mihai Anitescu,
Talk Title: Exponential Decay of Sensitivity in Graph-Indexed Optimization Problems, such as Control, and Distributed Optimization
Host: Dr. Johannes Royset
More Information: FLYER 651 Mihai Anitescu 4.15.25.png
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
