Distributed optimization in edge networks is constrained by heterogeneous client computing capabilities and limited communication resources. We propose the Windowed and Quantized Group-Based Alternating Direction Method of Multipliers (WQ-GADMM) to coordinate group updates under limited activation capacity and reduce c...
Gai-Guo Wei, Qing-Ying Zhang, He-Qiang Wang et al.· 0 citations
In this paper, we present a latency-aware scheduler for large-language-model (LLM) inference across mobile devices, edge servers, and a remote cloud. Our fine-grained delay model captures OFDMA uplink/downlink rates, KV-cache backhaul serialization, and profiled GPU planning-chunk resource constraints, enabling per-req...
Xinghan Wang, Xiao-Xiong Zhong, Wei-Hong Yang et al.· IEEE Transactions on Paralle...· 0 citations
The Modality Quantity and Quality Rebalanced (QQR) algorithm is proposed, a prototype learning based method designed to operate in parallel with the training process and consistently outperforms benchmarks under modality imbalance conditions with promising learning performance.
Heqiang Wang, Weihong Yang, Xiaoxiong Zhong et al.· IEEE Transactions on Signal...· 4 citations
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