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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

11 November 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
Jianwei Zhang
Yunfei Chu
Luo Ji
Kunyang Jia
T. Shen
Anpeng Wu
Fengda Zhang
Ziqi Tan
Kun Kuang
Chao-Xiang Wu
Fei Wu
Jingren Zhou
Hongxia Yang
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Papers citing "Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI"

22 / 22 papers shown
Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu
Yao Du
Kun Yang
Yan Wang
Xiping Hu
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
43
0
0
03 May 2025
Evolution of AI in Education: Agentic Workflows
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov
David Santandreu Calonge
Linda Smail
Dilshod Azizov
Dimple R. Thadani
Theresa Kwong
Amara Atif
50
1
0
25 Apr 2025
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence
Daphnee Chabal
Dolly Sapra
Z. Mann
19
3
0
10 Feb 2023
FedSkip: Combatting Statistical Heterogeneity with Federated Skip
  Aggregation
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya-Qin Zhang
Qinghua Tian
FedML
21
20
0
14 Dec 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Device-Cloud Collaborative Recommendation via Meta Controller
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
30
17
0
07 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya-Qin Zhang
Hongxia Yang
MQ
32
18
0
27 Sep 2021
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
100
229
0
21 Apr 2021
Auto-Exposure Fusion for Single-Image Shadow Removal
Auto-Exposure Fusion for Single-Image Shadow Removal
Lan Fu
Changqing Zhou
Qing-Wu Guo
Felix Juefei Xu
Hongkai Yu
Wei Feng
Yang Liu
Song Wang
CVBM
76
129
0
01 Mar 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Xia Hu
90
130
0
18 Feb 2021
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
125
1,450
0
04 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,430
0
04 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
488
0
31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,919
0
31 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
88
115
0
08 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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