Mapping the Distant and Metal-Poor Milky Way with SDSS-V

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Vedant Chandra, Vedant Chandra, , , | Summary: The fifth-generation Sloan Digital Sky Survey (SDSS-V) is conducting the first all-sky low-resolution spectroscopic survey of the Milky Way’s stellar halo. We describe the stellar parameter pipeline for the SDSS-V halo survey, which simultaneously models spectra, broadband photometry, […]


Continue.. Mapping the Distant and Metal-Poor Milky Way with SDSS-V

YOLO-Count: Differentiable Object Counting for Text-to-Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Guanning Zeng, Guanning Zeng, , , | Summary: We propose YOLO-Count, a differentiable open-vocabulary object counting model that tackles both general counting challenges and enables precise quantity control for text-to-image (T2I) generation. A core contribution is the ‘cardinality’ map, a novel regression target that accounts for variations […]


Continue.. YOLO-Count: Differentiable Object Counting for Text-to-Image Generation

Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]


Continue.. Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]


Continue.. Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]


Continue.. Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience