Abstract: Federated Learning (FL), a groundbreaking approach for collaborative model training across decentralized devices, maintains data privacy while constructing a decent global machine learning ...
The design of modern particle physics detectors can become a strong benchmark for contemporary machine-learning techniques. It offers a realistic large-scale optimization task grounded in ...
Classes: (some) Fri 3.00-5.00pm/5.00-7.00pm in Room 7 (Lecture Block), weeks 3, 5, 7, and 9. Machine Learning is in the process of transforming economics as well as ...
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...
Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...
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