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Published in 2023 at "National Science Review"
DOI: 10.1093/nsr/nwad124
Abstract: This perspective presents a brief overview of the background of Gradient-free tuning for large language models competition, the championship scheme, as well as the challenges and future directions.
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Keywords:
large language;
gradient free;
models competition;
free tuning ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229329
Abstract: Real-time localization and mapping for micro aerial vehicles (MAV) is a challenging problem, due to the limitation of the onboard computational power. In this article, a tightly coupled light detection and ranging (LiDAR)-inertial odometry is…
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Keywords:
lidar inertial;
gradient free;
inertial odometry;
free optimization ... See more keywords
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Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2024.3506732
Abstract: This paper explores a class of distributed constrained convex optimization problems where the objective function is a sum of $N$ convex local objective functions. These functions are characterized by local non-smoothness yet adhere to Lipschitz…
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Keywords:
gradient free;
tex math;
optimization;
inline formula ... See more keywords