Search Results for author: Kevin Chan

Found 9 papers, 2 papers with code

Adversarial Plannning

no code implementations1 May 2022 Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin Chan, Trent Jaeger, Patrick McDaniel

We evaluate the performance of the algorithms against two dominant planning algorithms used in commercial applications (D* Lite and Fast Downward) and show both are vulnerable to extremely limited adversarial action.

Autonomous Vehicles Management

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

no code implementations19 Jan 2022 Jake Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan

Then, using the derived convergence bound, we use stochastic optimization to develop a new client selection and power allocation algorithm that minimizes a function of the convergence bound and the average communication time under a transmit power constraint.

Federated Learning Privacy Preserving +2

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

no code implementations22 Jan 2021 Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar

A Pareto GAN leverages extreme value theory and the functional properties of neural networks to learn a distribution that matches the asymptotic behavior of the marginal distributions of the features.

Epidemiology Open-Ended Question Answering

Topological Effects on Attacks Against Vertex Classification

no code implementations12 Mar 2020 Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin Chan, Tina Eliassi-Rad

Vertex classification is vulnerable to perturbations of both graph topology and vertex attributes, as shown in recent research.

Classification General Classification

MaxHedge: Maximising a Maximum Online

no code implementations28 Oct 2018 Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang, Mark Herbster

We introduce a new online learning framework where, at each trial, the learner is required to select a subset of actions from a given known action set.

Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices

no code implementations27 Sep 2017 Zongqing Lu, Swati Rallapalli, Kevin Chan, Thomas La Porta

In doing so Augur tackles several challenges: (i) how to overcome pro ling and measurement overhead; (ii) how to capture the variance in different mobile platforms with different processors, memory, and cache sizes; and (iii) how to account for the variance in the number, type and size of layers of the different CNN configurations.

Self-Driving Cars

Influence of Personal Preferences on Link Dynamics in Social Networks

no code implementations21 Sep 2017 Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla, Omar Lizardo, Kevin Chan

We find that personal preferences, in particular political views, and preferences for common activities help predict link formation and dissolution in both the behavioral and cognitive networks.

Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process

1 code implementation17 Jun 2015 Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung

In mobile edge computing, local edge servers can host cloud-based services, which reduces network overhead and latency but requires service migrations as users move to new locations.

Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Optimization and Control

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