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Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination.

, , and . CoRR, (2022)

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DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems., , , , and . ISLPED, page 37:1-37:6. ACM, (2018)Online Submodular Coordination With Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination., , and . IEEE Robotics Autom. Lett., 8 (4): 2261-2268 (April 2023)AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (11): 4694-4707 (2022)Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination., , and . CoRR, (2022)Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing., , , , , , , , and . WWW (Companion Volume), page 567-571. ACM, (2022)Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control., , and . CDC, page 8266-8273. IEEE, (2023)MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping., , , and . DAC, page 163. ACM, (2019)LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications., , and . CoRR, (2019)LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications., , and . ASP-DAC, page 470-475. IEEE, (2020)Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients., , , , and . CoRR, (2018)