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cs.LG2025
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
Yan Zhu, Jingyang Zhu, Ting Wang +3
Advancements in artificial intelligence (AI) and low-earth orbit (LEO) satellites have promoted the application of large remote sensing foundation models for various downstream tas…
cs.LG2025
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
Peng Yang, Ting Wang, Haibin Cai +3
Satellite networks are able to collect massive space information with advanced remote sensing technologies, which is essential for real-time applications such as natural disaster m…
cs.LG2023
Federated Linear Bandit Learning via Over-the-Air Computation
Jiali Wang, Yuning Jiang, Xin Liu +2
In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the envi…