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09/14/2023
Interpretability-Aware Vision Transformer
Vision Transformers (ViTs) have become prominent models for solving vari...
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08/28/2023
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation
The Segment Anything Model (SAM) has rapidly been adopted for segmenting...
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08/01/2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Recently, bi-level optimization (BLO) has taken center stage in some ver...
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01/31/2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Vision Transformer (ViT) has recently gained significant interest in sol...
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12/05/2022
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Decentralized bilevel optimization has received increasing attention rec...
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07/27/2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
In recent years, decentralized bilevel optimization problems have receiv...
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12/23/2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Adversarial training (AT) has become a widely recognized defense mechani...
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08/23/2021
Anarchic Federated Learning
Present-day federated learning (FL) systems deployed over edge networks ...
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06/19/2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Federated Learning (FL) refers to the paradigm where multiple worker nod...
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02/15/2021
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization
This paper proposes a new algorithm – the Momentum-assisted Single-times...
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05/01/2020
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
In this work, we propose a distributed algorithm for stochastic non-conv...
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01/09/2020
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit
In this work, we consider a distributed online convex optimization probl...
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12/12/2019
Parallel Restarted SPIDER – Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
In this paper, we propose a distributed algorithm for stochastic smooth,...
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12/10/2019
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
In this work, we consider the distributed stochastic optimization proble...
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06/25/2018
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory
As artificial intelligence is increasingly affecting all parts of societ...
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01/22/2016