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2111.06061
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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
11 November 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
Jianwei Zhang
Yunfei Chu
Luo Ji
Kunyang Jia
Tao Shen
Anpeng Wu
Tai-wei Chang
Ziqi Tan
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
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Papers citing
"Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI"
33 / 33 papers shown
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
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Han Hu
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A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
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Jing Liu
Yang Liu
Lixu Wang
Z. Wang
Wei Chen
Zijian Tian
Richard Yu
Victor C.M. Leung
118
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26 Aug 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
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Yao Du
Kun Yang
Yan Wang
Yan Wang
...
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
435
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03 May 2025
Evolution of AI in Education: Agentic Workflows
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David Santandreu Calonge
Linda Smail
Dilshod Azizov
Dimple R. Thadani
Theresa Kwong
Amara Atif
221
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25 Apr 2025
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation
Knowledge Discovery and Data Mining (KDD), 2025
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Fan Wu
Kun Kuang
240
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07 Jan 2025
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
International Conference on Artificial Neural Networks (ICANN), 2025
Xubin Wang
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479
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04 Jan 2025
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
IFIP International Information Security Conference (IIS), 2024
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Arthi Padmanabhan
Spyridon Mastorakis
188
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28 Oct 2024
Towards Real-world Deployment of NILM Systems: Challenges and Practices
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Yi Wang
Guoming Tang
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End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce
World Forum on Internet of Things (WF-IoT), 2024
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209
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Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
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Gao Liu
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236
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Reprogramming Distillation for Medical Foundation Models
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Siyuan Du
Haolin Li
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269
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PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs
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Zhihui Fu
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196
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01 Jul 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
International Conference on Machine Learning (ICML), 2024
Yuhang Zhou
Zihua Zhao
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
MoMe
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277
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14 Jun 2024
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
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Shengyu Zhang
Zheqi Lv
Jingyuan Chen
Jiwei Li
214
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13 Jun 2024
Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Chengming Li
Victor C. M. Leung
Yanyi Guo
Xiping Hu
337
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12 Jun 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
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Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
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Yanfeng Wang
FedML
266
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29 May 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
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Ruipeng Zhang
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Bo Han
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Yanfeng Wang
FedML
278
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29 May 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
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GNN
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09 Apr 2024
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation
Zhuang Yan
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
169
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18 Nov 2023
ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged Weights
IEEE International Conference on Consumer Electronics (ICCE), 2023
Atah Nuh Mih
Hung Cao
Asfia Kawnine
Monica Wachowicz
112
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An Overview on Generative AI at Scale with Edge-Cloud Computing
IEEE Open Journal of the Communications Society (JOCS), 2023
Yun Cheng Wang
Jintang Xue
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C.-C. Jay Kuo
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02 Jun 2023
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
IEEE Access (IEEE Access), 2023
Gokul Yenduri
M. Ramalingam
G. C. Selvi
Y. Supriya
Gautam Srivastava
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Rutvij H. Jhaveri
B. Prabadevi
Weizheng Wang
Athanasios V. Vasilakos
Thippa Reddy Gadekallu
AI4CE
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11 May 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
International Conference on Learning Representations (ICLR), 2023
Jianing Zhu
Jiangchao Yao
Tongliang Liu
Quanming Yao
Jianliang Xu
Bo Han
FedML
178
7
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01 Mar 2023
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence
Daphnee Chabal
Dolly Sapra
Z. Mann
168
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10 Feb 2023
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Industrial Conference on Data Mining (IDM), 2022
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya Zhang
Qinghua Tian
FedML
144
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14 Dec 2022
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xin He
Jiangchao Yao
Yuxin Wang
Zhenheng Tang
Ka Chu Cheung
Simon See
Bo Han
Xiaowen Chu
228
16
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23 Nov 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
Neural Information Processing Systems (NeurIPS), 2022
Junyuan Hong
Lingjuan Lyu
Jiayu Zhou
Michael Spranger
SyDa
197
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23 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
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Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
243
60
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21 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
The Web Conference (WWW), 2022
Zheqi Lv
Wenqiao Zhang
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Kun Kuang
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Ruihao Zhang
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Hongxia Yang
Bengchin Ooi
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301
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12 Sep 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Knowledge Discovery and Data Mining (KDD), 2022
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
242
21
0
07 Jul 2022
Intelligent Request Strategy Design in Recommender System
Knowledge Discovery and Data Mining (KDD), 2022
Xufeng Qian
Yue Xu
Fuyu Lv
Shengyu Zhang
Ziwen Jiang
Qingwen Liu
Xiaoyi Zeng
Tat-Seng Chua
Leilei Gan
169
22
0
23 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
373
149
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16 May 2022
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Dongqi Wang
Shengyu Zhang
Zhipeng Di
Xin Lin
Weihua Zhou
Leilei Gan
126
0
0
21 Feb 2022
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