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On-Device Machine Learning: An Algorithms and Learning Theory Perspective

2 November 2019

Papers citing "On-Device Machine Learning: An Algorithms and Learning Theory Perspective"

50 / 64 papers shown

Title
CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models Peyman Hosseini Ondrej Bohdal Taha Ceritli Ignacio Castro Matthew Purver Mete Ozay Umberto Michieli OffRL 116 0 0 09 Nov 2025
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models Donald Shenaj Ondrej Bohdal Taha Ceritli Mete Ozay Pietro Zanuttigh Umberto Michieli MoMe CLL 176 0 0 15 Oct 2025
On-device System of Compositional Multi-tasking in Large Language Models Ondrej Bohdal Konstantinos Theodosiadis Asterios Mpatziakas Dimitris Filippidis Iro Spyrou ... Kyeng-Hun Lee J. Moon Hyeonmok Ko Mete Ozay Umberto Michieli 100 0 0 11 Oct 2025
Efficient Resource-Constrained Training of Vision Transformers via Subspace Optimization Le-Trung Nguyen Enzo Tartaglione Van-Tam Nguyen 128 0 0 10 Oct 2025
CURA: Size Isnt All You Need - A Compact Universal Architecture for On-Device Intelligence Jae-Bum Seo Muhammad Salman Lismer Andres Caceres-Najarro 76 0 0 29 Sep 2025
Testing chatbots on the creation of encoders for audio conditioned image generation Jorge E. León Miguel Carrasco 140 0 0 09 Sep 2025
Effectively obtaining acoustic, visual and textual data from videos Jorge E. León Miguel Carrasco VGen 119 1 0 06 Sep 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging Taha Ceritli Ondrej Bohdal Mete Ozay J. Moon Kyeng-Hun Lee Hyeonmok Ko Umberto Michieli MoMe 120 2 0 23 Jul 2025
Efficient Compositional Multi-tasking for On-device Large Language Models Ondrej Bohdal Mete Ozay J. Moon Kyeng-Hun Lee Hyeonmok Ko Umberto Michieli 178 1 0 21 Jul 2025
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge Yu Zhang Xi Zhang Hualin zhou Xinyuan Chen Shang Gao Hong Jia Jianfei Yang Yuankai Qi Tao Gu 178 0 0 28 Jun 2025
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning Mohammad Maheri Denys Herasymuk Hamed Haddadi 161 0 0 25 Jun 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen Ael Quélennec Van-Tam Nguyen Enzo Tartaglione 336 4 0 08 May 2025
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 330 1 0 07 May 2025
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space ApplicationsScientific Reports (Sci Rep), 2025 Leonardo Olivi Edoardo Santero Mormile Enzo Tartaglione SSeg 279 0 0 22 Apr 2025
LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices Cynthia Dong Hong Jia Young D. Kwon Georgios Rizos Cecilia Mascolo MQ 213 0 0 20 Mar 2025
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility Guilherme Silva Pedro H. L. Silva Gladston J. P. Moreira Vander L. S. Freitas Jadson Gertrudes Eduardo José da S. Luz 183 7 0 10 Mar 2025
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language ModelsACM Transactions on Evolutionary Learning and Optimization (TELO), 2025 Anastasiia Grishina Vadim Liventsev Aki Härmä Leon Moonen ELM 311 2 0 10 Mar 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI ModelsACM Computing Surveys (ACM Comput. Surv.), 2025 Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 358 55 0 08 Mar 2025
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Bo Gao Tianliu He Wen Wang 312 0 0 24 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution EnvironmentDesign Automation Conference (DAC), 2025 Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 168 0 0 20 Feb 2025
Stepping Forward on the Last MileNeural Information Processing Systems (NeurIPS), 2024 Chen Feng Shaojie Zhuo Xiaopeng Zhang R. Ramakrishnan Zhaocong Yuan Andrew Zou Li 365 0 0 06 Nov 2024
Designing Extremely Memory-Efficient CNNs for On-device Vision TasksAsian Conference on Computer Vision (ACCV), 2024 Jaewook Lee Yoel Park Seulki Lee VLM 128 4 0 07 Aug 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 389 7 0 25 Jun 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 201 0 0 27 May 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient InferenceInternational Conference on Human Factors in Computing Systems (CHI), 2024 Fred Hohman Chaoqun Wang Jinmook Lee Jochen Görtler Dominik Moritz Jeffrey P. Bigham Zhile Ren Cecile Foret Qi Shan Xiaoyi Zhang 274 7 0 03 Apr 2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices Yushan Huang Josh Millar Yuxuan Long Yuchen Zhao Hamed Haddadi 394 1 0 23 Mar 2024
Multisize Dataset CondensationInternational Conference on Learning Representations (ICLR), 2024 Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 350 18 0 10 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 358 20 0 05 Mar 2024
Integrating Pre-Trained Language Model with Physical Layer Communications Ju-Hyung Lee Dong-Ho Lee Joohan Lee Jay Pujara 167 8 0 18 Feb 2024
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models Justin Blalock David Munechika Harsha Karanth Alec Helbling Pratham Mehta Seongmin Lee Duen Horng Chau DiffM 164 1 0 02 Feb 2024
On-Device Recommender Systems: A Comprehensive Survey Hongzhi Yin Liang Qu Tong Chen Wei Yuan Ruiqi Zheng Jing Long Xin Xia Yuhui Shi Chengqi Zhang 258 55 0 21 Jan 2024
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2023 Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 317 24 0 06 Oct 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 215 90 0 18 Jul 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML Haoyu Ren Xue Li Darko Anicic Thomas Runkler 222 3 0 13 Jul 2023
Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps Jason Ching Yuen Siu Jieshan Chen Yujin Huang Zhenchang Xing Chunyang Chen 158 1 0 03 Jul 2023
Fully Autonomous Programming with Large Language ModelsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023 Vadim Liventsev Anastasiia Grishina Aki Härmä Leon Moonen ELM 204 53 0 20 Apr 2023
Towards Building Child-Centered Machine Learning Pipelines: Use Cases from K-12 and Higher-Education Alpay Sabuncuoglu Ceylan Beşevli T. Metin Sezgin 120 0 0 19 Apr 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 131 1 0 24 Mar 2023
Neural Preset for Color Style TransferComputer Vision and Pattern Recognition (CVPR), 2023 Zhanghan Ke Yuhao Liu Lei Zhu Nanxuan Zhao Rynson W. H. Lau 380 53 0 23 Mar 2023
Gated Compression Layers for Efficient Always-On Models Haiguang Li T. Thormundsson I. Poupyrev N. Gillian 154 3 0 15 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationComputer Vision and Pattern Recognition (CVPR), 2023 Jun S. Song Jungsoo Lee In So Kweon Sungha Choi TTA 222 127 0 03 Mar 2023
On-Device Unsupervised Image SegmentationDesign Automation Conference (DAC), 2023 Junhuan Yang Yi Sheng Yu-zhao Zhang Weiwen Jiang Lei Yang 213 17 0 24 Feb 2023
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 391 30 0 01 Dec 2022
Efficient Fine-Tuning of Compressed Language Models with Learners Danilo Vucetic Mohammadreza Tayaranian M. Ziaeefard J. Clark B. Meyer W. Gross 138 3 0 03 Aug 2022
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing Sina Shahhosseini Yang Ni Hamid Alikhani Emad Kasaeyan Naeini Mohsen Imani N. Dutt Amir M. Rahmani 174 1 0 01 Aug 2022
Device-Cloud Collaborative Recommendation via Meta ControllerKnowledge Discovery and Data Mining (KDD), 2022 Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 206 21 0 07 Jul 2022
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated ServicesIEEE International Conference on Services Computing (SCC), 2022 W. Hutiri Aaron Yi Ding 107 4 0 20 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022 Swapnil Sayan Saha S. Sandha Mani B. Srivastava 435 168 0 29 May 2022
Efficient Fine-Tuning of BERT Models on the EdgeInternational Symposium on Circuits and Systems (ISCAS), 2022 Danilo Vucetic Mohammadreza Tayaranian M. Ziaeefard J. Clark B. Meyer W. Gross 202 42 0 03 May 2022
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 272 14 0 10 Mar 2022