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Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
v1v2 (latest)

Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications

25 October 2021
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
    CLLHAI
ArXiv (abs)PDFHTML

Papers citing "Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications"

12 / 12 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
161
0
0
29 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
131
0
0
31 Mar 2025
Delta: A Cloud-assisted Data Enrichment Framework for On-Device
  Continual Learning
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
Chen Gong
Zhenzhe Zheng
Fan Wu
Xiaofeng Jia
Guihai Chen
LMTDFedML
93
4
0
24 Oct 2024
Enhancing Quantum Security over Federated Learning via Post-Quantum
  Cryptography
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
Pingzhi Li
Tianlong Chen
Junyu Liu
FedML
99
1
0
06 Sep 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
110
0
0
13 Mar 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
119
13
0
19 Feb 2024
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded
  Computing Platforms
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
114
17
0
19 Nov 2023
Design Principles for Lifelong Learning AI Accelerators
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
...
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
127
18
0
05 Oct 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
162
18
0
11 Aug 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on
  Wearable Medical Sensors
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li
N. Jha
157
9
0
09 May 2023
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
90
13
0
08 Mar 2022
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Anish Das
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
3DH
96
12
0
21 Feb 2022
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