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cs.DC2026
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
Bingnan Xiao, Feng Zhu, Jingjing Zhang +2
Inherent client drifts caused by data heterogeneity, as well as vulnerability to Byzantine attacks within the system, hinder effective model training and convergence in federated l…
cs.DC2024
Edge Intelligence in Satellite-Terrestrial Networks with Hybrid Quantum Computing
Siyue Huang, Lifeng Wang, Xin Wang +3
This paper exploits the potential of edge intelligence empowered satellite-terrestrial networks, where users' computation tasks are offloaded to the satellites or terrestrial base…