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08/28/2023
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Large Language Models (LLMs) such as GPTs and LLaMa have ushered in a re...
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08/12/2023
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Deploying high-performance convolutional neural network (CNN) models on ...
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08/03/2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Multi-task learning (MTL) seeks to learn a single model to accomplish mu...
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07/17/2023
Satellite Computing: A Case Study of Cloud-Native Satellites
The on-orbit processing of massive satellite-native data relies on power...
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02/15/2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Deploying high-performance vision transformer (ViT) models on ubiquitous...
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12/12/2022
Federated NLP in Few-shot Scenarios
Natural language processing (NLP) sees rich mobile applications. To supp...
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12/01/2022
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts
Transformer-based pre-trained models have become the de-facto solution f...
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10/11/2022
From Earth to Space: A First Deployment of 5G Core Network on Satellite
Recent developments in the aerospace industry have led to a dramatic red...
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06/23/2022
Device-centric Federated Analytics At Ease
Nowadays, high-volume and privacy-sensitive data are generated by mobile...
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06/15/2022
Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading
This paper proposes Mandheling, the first system that enables highly res...
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06/15/2022
Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices
DNNs are ubiquitous on edge devices nowadays. With its increasing import...
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05/20/2022
AutoFedNLP: An efficient FedNLP framework
Transformer-based pre-trained models have revolutionized NLP for superio...
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02/03/2022
Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network
Space-air-ground integrated network (SAGIN) is a new type of wireless ne...
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12/30/2021
Tiansuan Constellation: An Open Research Platform
Satellite network is the first step of interstellar voyages. It can prov...
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12/08/2021
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision
Mobile networks (MN) are anticipated to provide unprecedented opportunit...
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09/08/2021
From Cloud to Edge: A First Look at Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia...
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10/22/2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Federated learning (FL) was designed to enable mobile phones to collabor...
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06/12/2020
Heterogeneity-Aware Federated Learning
Federated learning (FL) is an emerging distributed machine learning para...
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02/04/2020
Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing
Mobile edge computing is beneficial to reduce service response time and ...
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07/04/2019
Security modeling and efficient computation offloading for service workflow in mobile edge computing
It is a big challenge for resource-limited mobile devices (MDs) to execu...
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02/05/2019
A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing
Crowd-intelligence tries to gather, process, infer and ascertain massive...
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05/28/2018
