English(EN)Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge Intelligence
新研究探讨先进的边缘智能框架和优化
作者PulseAugur 编辑部·[6 个来源]·
近期研究论文探讨了边缘智能的进展，重点关注将AI与边缘计算相结合。其中一篇论文介绍了聚类边缘智能（CEI），一个以智能为中心的框架，用于管理和共享分布式系统中的派生智能。另一篇论文研究了多模态边缘智能中压缩、专家混合（MoE）路由和量化之间的复杂交互，强调这些技术不能独立优化。此外，还在进行面向硬件的边缘智能系统设计研究，强调模型压缩和神经架构搜索。还提出了一个独立的框架EdgeFaaS，用于管理物联网、边缘和云的异构资源，以支持各种边缘计算工作流。
AI
arXiv:2607.20937v1 Announce Type: new Abstract: We are moving from an information age to the age of intelligence. A decade, or possibly less than that, data will not be the gold anymore rather the derived intelligence out of the data and the information we posses from the edge of…
arXiv:2607.20981v1 Announce Type: new Abstract: Efficient multimodal inference is increasingly constrained not only by model quality or FLOP count, but also by the cost of preserving, moving, routing, caching, and quantizing multimodal representations under latency, memory, and e…
Efficient multimodal inference is increasingly constrained not only by model quality or FLOP count, but also by the cost of preserving, moving, routing, caching, and quantizing multimodal representations under latency, memory, and energy constraints. This paper reviews recent adv…
arXiv:2607.19676v1 Announce Type: new Abstract: Civil aviation is safety critical and its operations, from flight decks and towers to ramps and maintenance, generate massive, heterogeneous data at the network edge. Yet cloud centric deployment of large Artificial Intelligence (AI…
arXiv cs.LG
TIER_1English(EN)·Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu·
arXiv:2607.16297v1 Announce Type: cross Abstract: Edge intelligence systems, the intersection of edge computing and artificial intelligence (AI), are pushing the frontier of AI applications. However, the complexity of deep learning models and heterogeneity of edge devices make th…
Edge computing brings unique challenges as the resources on the edge are highly diverse in capabilities and capacities, and highly distributed across many users and the physical world. Existing distributed computing frameworks cannot adequately handle this level of heterogeneity …
