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09/08/2023
LLMCad: Fast and Scalable On-device Large Language Model Inference
Generative tasks, such as text generation and question answering, hold a...
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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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06/01/2023
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms
The number of satellites, especially those operating in low-earth orbit ...
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05/02/2023
Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
We propose the use of the hypothetical retrospection argumentation proce...
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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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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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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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12/05/2021
Boosting Mobile CNN Inference through Semantic Memory
Human brains are known to be capable of speeding up visual recognition o...
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10/25/2021
Observable and Attention-Directing BDI Agents for Human-Autonomy Teaming
Human-autonomy teaming (HAT) scenarios feature humans and autonomous age...
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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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05/06/2021
Modelling and Verifying BDI Agents with Bigraphs
The Belief-Desire-Intention (BDI) architecture is a popular framework fo...
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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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02/15/2020
Neural Architecture Search over Decentralized Data
To preserve user privacy while enabling mobile intelligence, techniques ...
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09/02/2019
Approximate Query Processing on Autonomous Cameras
Surveillance IoT cameras are becoming autonomous: they operate on batter...
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04/28/2019
Supporting Video Queries on Zero-Streaming Cameras
As low-cost surveillance cameras grow rapidly, we advocate for these cam...
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11/08/2018
A First Look at Deep Learning Apps on Smartphones
We are in the dawn of deep learning explosion for smartphones. To bridge...
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11/08/2018
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning
Deep learning (DL) is a game-changing technique in mobile scenarios, as ...
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12/01/2017
Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones
Deep Learning (DL) algorithm is the state-of-the-art algorithm of many c...
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12/01/2017
