2 papers
cs.DC2026
SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
Satellite-based distributed learning promises to train machine-learning models directly in orbit using massive, globally dispersed sensor data, thereby avoiding large-scale data do…
cs.NI2025
A Single-Chain Backscatter Tag for Multi-Sensor Multiplexing
Yijie Li, Weichong Ling, Taiting Lu +5
Many real-world sensing tasks require co-located, multi-modal measurements at a single site, typically a bundle of two to five sensors, for example, in plant stress sensing and blo…