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09/03/2023
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions
Many of our critical infrastructure systems and personal computing syste...
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05/01/2022
Adversarial Plannning
Planning algorithms are used in computational systems to direct autonomo...
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01/19/2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
Federated learning (FL) is a useful tool in distributed machine learning...
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01/22/2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Generative adversarial networks (GANs) are often billed as "universal di...
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03/12/2020
Topological Effects on Attacks Against Vertex Classification
Vertex classification is vulnerable to perturbations of both graph topol...
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02/11/2020
Rapid Top-Down Synthesis of Large-Scale IoT Networks
Advances in optimization and constraint satisfaction techniques, togethe...
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10/28/2018
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees
We introduce a new online learning framework where, at each trial, the l...
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04/14/2018
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning
Emerging technologies and applications including Internet of Things (IoT...
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02/08/2018
Experimentation With Fuzzy Interest Forwarding in Named Data Networking
In the current Named Data Networking implementation, forwarding a data r...
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09/27/2017
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices
Convolutional Neural Networks (CNNs) have revolutionized the research in...
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09/21/2017