3 papers
cs.IT2025
Pinching-antenna-enabled Federated Learning: Tail Latency, Participation, and Convergence Analysis
Yushen Lin, Zihan Chen, Zhiguo Ding
Federated learning (FL) in wireless networks is limited by straggler delays from unpredictable channel conditions. In this paper, we investigate the pinching-antenna system (PASS),…
math.ST2025
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Rui Zhao, Zihan Chen, Zemin Zheng
High-dimensional linear contextual bandit problems remain a significant challenge due to the curse of dimensionality. Existing methods typically consider either the model parameter…
cs.AR2025
Voyager: An End-to-End Framework for Design-Space Exploration and Generation of DNN Accelerators
Kartik Prabhu, Jeffrey Yu, Xinyuan Allen Pan +5
While deep neural networks (DNNs) have achieved state-of-the-art performance in fields from computer vision to natural language processing, efficiently running these computationall…