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20172025
most citedTask Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

73 citations · 100 across the 9 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

physics.app-ph2025

Electrically Pumped Terahertz Frequency Comb Based on Actively Mode-locked Resonant Tunneling Diode

Feifan Han, Xiongbin Yu, Qun Zhang +6

Terahertz (THz) frequency combs (TFCs) are promising for numerous applications in spectroscopy, metrology, sensing, and wireless communications. However, the practical applications…

cs.DC2025

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement

Tian Wu, Liming Wang, Zijian Wen +5

The emergence of Mixture-of-Experts (MoE) has transformed the scaling of large language models by enabling vast model capacity through sparse activation. Yet, converting these perf…

physics.app-ph2025

Broadband Terahertz Frequency Comb Based on Actively Mode Locked Resonant Tunneling Diode

Feifan Han, Hongxin Zhou, Qun Zhang +9

The frequency combs characterized by their phase-coherent equidistant spectral modes and precise frequency scales of broadband spectrum, have made them an indispensable part of con…

cs.LG2025

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction

Weijie Liu, Ziwei Zhan, Carlee Joe-Wong +5

Non-independent and identically distributed (Non-IID) data across edge clients have long posed significant challenges to federated learning (FL) training in edge computing environm…

cs.LG2025

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning

Bokeng Zheng, Bo Rao, Tianxiang Zhu +5

Advances in artificial intelligence (AI) including foundation models (FMs), are increasingly transforming human society, with smart city driving the evolution of urban living.Meanw…