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07/25/2023
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation
The unprecedented accuracy of convolutional neural networks (CNNs) acros...
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07/19/2023
TinyTrain: Deep Neural Network Training at the Extreme Edge
On-device training is essential for user personalisation and privacy. Wi...
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07/14/2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
The ubiquity of camera-enabled devices has led to large amounts of unlab...
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07/12/2023
FDAPT: Federated Domain-adaptive Pre-training for Language Models
Combining Domain-adaptive Pre-training (DAPT) with Federated Learning (F...
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06/06/2023
FedVal: Different good or different bad in federated learning
Federated learning (FL) systems are susceptible to attacks from maliciou...
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05/26/2023
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer
Most work in privacy-preserving federated learning (FL) has been focusin...
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05/25/2023
Are We There Yet? Product Quantization and its Hardware Acceleration
Conventional multiply-accumulate (MAC) operations have long dominated co...
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05/20/2023
Privacy in Multimodal Federated Human Activity Recognition
Human Activity Recognition (HAR) training data is often privacy-sensitiv...
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05/18/2023
Efficient Vertical Federated Learning with Secure Aggregation
The majority of work in privacy-preserving federated learning (FL) has b...
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05/04/2023
Can Fair Federated Learning reduce the need for Personalisation?
Federated Learning (FL) enables training ML models on edge clients witho...
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04/15/2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
The privacy-sensitive nature of decentralized datasets and the robustnes...
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02/15/2023
A Federated Learning Benchmark for Drug-Target Interaction
Aggregating pharmaceutical data in the drug-target interaction (DTI) dom...
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12/15/2022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution
In recent years, image and video delivery systems have begun integrating...
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12/15/2022
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Recent image degradation estimation methods have enabled single-image su...
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11/30/2022
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
Embedded and IoT devices, largely powered by microcontroller units (MCUs...
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10/19/2022
The Future of Consumer Edge-AI Computing
Deep Learning has proliferated dramatically across consumer devices in l...
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09/30/2022
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio
Self-supervised learning (SSL) has proven vital in speech and audio-rela...
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09/27/2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs
With deep neural networks (DNNs) emerging as the backbone in a multitude...
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09/20/2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
Attention-based neural networks have become pervasive in many AI tasks. ...
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07/03/2022
Protea: Client Profiling within Federated Systems using Flower
Federated Learning (FL) has emerged as a prospective solution that facil...
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05/19/2022
Multi-DNN Accelerators for Next-Generation AI Systems
As the use of AI-powered applications widens across multiple domains, so...
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05/12/2022
Secure Aggregation for Federated Learning in Flower
Federated Learning (FL) allows parties to learn a shared prediction mode...
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04/06/2022
Federated Self-supervised Speech Representations: Are We There Yet?
The ubiquity of microphone-enabled devices has lead to large amounts of ...
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10/26/2021
Defensive Tensorization
We propose defensive tensorization, an adversarial defence technique tha...
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10/15/2021
Differentiable Network Pruning for Microcontrollers
Embedded and personal IoT devices are powered by microcontroller units (...
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09/28/2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
With smartphones' omnipresence in people's pockets, Machine Learning (ML...
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09/08/2021
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
The annotation of domain experts is important for some medical applicati...
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08/18/2021
Temporal Kernel Consistency for Blind Video Super-Resolution
Deep learning-based blind super-resolution (SR) methods have recently ac...
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06/12/2021
Zero-Cost Proxies Meet Differentiable Architecture Search
Differentiable neural architecture search (NAS) has attracted significan...
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06/09/2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
DNNs are becoming less and less over-parametrised due to recent advances...
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06/07/2021
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
Internet-enabled smartphones and ultra-wide displays are transforming a ...
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06/07/2021
Multi-Exit Semantic Segmentation Networks
Semantic segmentation arises as the backbone of many vision systems, spa...
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04/29/2021
End-to-End Speech Recognition from Federated Acoustic Models
Training Automatic Speech Recognition (ASR) models under federated learn...
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04/20/2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
Recently, there has been an explosive growth of mobile and embedded appl...
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04/07/2021
On-device Federated Learning with Flower
Federated Learning (FL) allows edge devices to collaboratively learn a s...
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04/03/2021
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions
Training and deploying graph neural networks (GNNs) remains difficult du...
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03/09/2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
Single computation engines have become a popular design choice for FPGA-...
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02/26/2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Federated Learning (FL) has been gaining significant traction across dif...
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02/02/2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
On-device machine learning is becoming a reality thanks to the availabil...
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01/20/2021
Zero-Cost Proxies for Lightweight NAS
Neural Architecture Search (NAS) is quickly becoming the standard method...
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11/03/2020
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
Protective behavior exhibited by people with chronic pain (CP) during ph...
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10/27/2020
μNAS: Constrained Neural Architecture Search for Microcontrollers
IoT devices are powered by microcontroller units (MCUs) which are extrem...
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10/17/2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
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10/13/2020
A first look into the carbon footprint of federated learning
Despite impressive results, deep learning-based technologies also raise ...
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10/12/2020
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions
Internet-enabled smartphones and ultra-wide displays are transforming a ...
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09/06/2020
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation
This paper introduces a new dataset, Libri-Adapt, to support unsupervise...
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08/14/2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Despite the soaring use of convolutional neural networks (CNNs) in mobil...
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08/11/2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Graph neural networks (GNNs) have demonstrated strong performance on a w...
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08/11/2020
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems
LPCNet is an efficient vocoder that combines linear prediction and deep ...
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08/10/2020
