MemPrivacy introduces a reversible, fine‑grained privacy layer for edge‑cloud agents, outperforming OpenAI's privacy‑filter by over 50 % F1 while keeping system utility loss under 2 %, thus enabling agents to remain useful without exposing raw sensitive data.
Lalamove tackled the scalability and accuracy challenges of worldwide driver onboarding by designing a layered edge‑cloud AI architecture that combines lightweight mobile models, cloud‑based large‑language and computer‑vision models, OCR, and multimodal LLMs to filter low‑quality inputs, automate identity checks, and reduce manual effort while maintaining data compliance.
At GAITC2025, JD Retail’s AI Infra lead Zhang Ke detailed the challenges of e‑commerce AI inference and introduced the xLLM edge‑cloud unified large‑model architecture, highlighting adaptive scheduling, offline unified scheduling, multi‑layer pipelines, and agent collaboration that boost performance, cut costs, and pave the way for future AI advancements.
The article details JD Retail’s collaboration with Tsinghua University to build the xLLM edge‑cloud unified large‑model inference framework, addressing e‑commerce AI challenges such as diverse inputs, task scheduling, model compression, and cost, while outlining future research directions and performance gains.
This article provides a comprehensive overview of China’s edge cloud market, defining the technology, outlining its key characteristics, tracing industry evolution, analyzing market size and growth drivers, and discussing future opportunities and challenges in the digital and intelligent transformation era.
At LiveVideoStackCon 2023, XiaoHongShu unveiled an edge‑cloud super‑resolution framework guided by the human‑perception‑aligned RedVQA model, which jointly optimizes video quality and bandwidth by generating a dedicated SR bitrate tier in the cloud and applying a lightweight SR algorithm on the client, achieving notable QoE gains and narrow‑band HD delivery.
Alibaba Entertainment’s 2019 Double‑11 "Cat Night" showcased a suite of cutting‑edge streaming technologies—including multi‑angle frame alignment, Dolby‑Atmos audio, low‑latency SRT transport, smart bitrate, edge‑cloud distribution, and a zero‑loss quality‑assurance system—that enabled a seamless 4K experience for viewers in over 200 countries.
From May 26‑28, the Huawei LiteOS Hackathon in Shenzhen gathered 200 onsite and 5,500 online participants, where teams built diverse low‑power IoT projects—ranging from visual doorbells to smart air purifiers—demonstrating edge‑cloud integration with Huawei LiteOS and OceanConnect, with winners announced and resources shared.
