Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Between the megabill’s July 2025 enactment and March 2026 (the last month with data on all states): These participation declines began before some of the major changes from H.R. 1 were fully in effect ...

Abstract: The significant increase in the amount of satellite data in recent years along with the increase in computing resources has opened up new possibilities for Earth observation (EO) data ...