Papers citing 'Wireless Network Intelligence at the Edge'

Title
A Hybrid Proactive And Predictive Framework For Edge Cloud Resource Management Hrikshesh Kumar Anika Garg Anshul Gupta Yashika Agarwal 168 0 0 20 Nov 2025
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function Qiuchen Song Shusen Jing Shuai Zhang Songyang Zhang Chuan Huang MoE 259 3 0 01 Apr 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 362 57 0 08 Mar 2025
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive DeploymentInternational Conference on Artificial Neural Networks (ICANN), 2025 Xubin Wang Weijia Jia Weijia Jia 441 21 0 04 Jan 2025
Delayed Random Partial Gradient Averaging for Federated LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023 Xinyi Hu FedML 254 0 0 31 Dec 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored ClippingInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2024 Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 437 2 0 23 Sep 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 290 2 0 22 Jul 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024 Feng Wang M. C. Gursoy Senem Velipasalar 219 3 0 15 May 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Maroun Touma Jianwei Huang Leandros Tassiulas FedML 216 12 0 22 Apr 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 323 22 0 09 Apr 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 226 2 0 31 Jan 2024
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities Alaa Saleh Roberto Morabito Sasu Tarkoma Susanna Pirttikangas Lauri Lovén 315 8 0 22 Dec 2023
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices Junchen Zhao Yurun Song Simeng Liu Ian G. Harris Sangeetha Abdu Jyothi 201 6 0 01 Dec 2023
Prototype of deployment of Federated Learning with IoT devicesACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN), 2022 Pablo García Santaclara Ana Fernández-Vilas R. Redondo 131 12 0 24 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 252 5 0 16 Nov 2023
A Comprehensive Survey On Client Selections in Federated Learning A. Gouissem Z. Chkirbene R. Hamila FedML 123 13 0 12 Nov 2023
The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native SatellitesChina Communications (China Commun.), 2023 Shangguang Wang Qiyang Zhang Ruolin Xing Fei Qi Mengwei Xu 148 6 0 10 Nov 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 417 22 0 16 Oct 2023
The Role of Federated Learning in a Wireless World with Foundation ModelsIEEE wireless communications (IEEE Wireless Commun.), 2023 Zihan Chen Howard H. Yang Y. C. Tay Kai Fong Ernest Chong Tony Q.S. Quek AI4CE 216 22 0 06 Oct 2023
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck TheoryGlobal Communications Conference (GLOBECOM), 2023 Omar Alhussein Moshi Wei A. Akhavain 202 4 0 06 Sep 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive ReviewEuropean Journal of Electrical Engineering and Computer Science (EJECE), 2023 Sajjad Emdadi Mahdimahalleh AI4CE 251 5 0 01 Aug 2023
Efficient Multiuser AI Downloading via Reusable Knowledge BroadcastingIEEE Transactions on Wireless Communications (IEEE TWC), 2023 Hai Wu Qunsong Zeng Kaibin Huang 259 11 0 28 Jul 2023
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT SystemsInternational Conference on Wireless Communications and Mobile Computing (IWCMC), 2023 Fazeela Mazhar Khan Emna Baccour A. Erbad Mounir Hamdi 97 3 0 21 Jul 2023
Edge Intelligence Over the Air: Two Faces of Interference in Federated LearningIEEE Communications Magazine (IEEE Commun. Mag.), 2023 Zihan Chen Howard H. Yang Tony Q.S. Quek 254 20 0 17 Jun 2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc NetworksSymposium on Software Performance (SP), 2023 S. Krishnan Jihong Park S. Sagar Gregory Sherman Benjamin Campbell Jinho Choi 92 4 0 01 Jun 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge IntelligenceIEEE Internet of Things Journal (IEEE IoT J.), 2023 Yu Qiao M. S. Munir Apurba Adhikary Huy Q. Le Avi Deb Raha Chaoning Zhang Choong Seon Hong 202 35 0 01 Apr 2023
Delay-Aware Hierarchical Federated LearningIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023 F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 222 19 0 22 Mar 2023
Multi-Resource Allocation for On-Device Distributed Federated Learning SystemsGlobal Communications Conference (GLOBECOM), 2022 Yulan Gao Ziqiang Ye Han Yu Zehui Xiong Yue Xiao Dusit Niyato FedML 126 6 0 01 Nov 2022
Differentially Private CutMix for Split Learning with Vision Transformer Seungeun Oh Jihong Park Sihun Baek Hyelin Nam Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 171 21 0 28 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022 Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 321 60 0 24 Oct 2022
A Survey on Over-the-Air ComputationIEEE Communications Surveys and Tutorials (COMST), 2022 Alphan Șahin Rui Yang 467 132 0 20 Oct 2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile NetworksIEEE wireless communications (IEEE Wireless Commun.), 2022 Kaibin Huang Hai Wu Zhiyan Liu Xiaojuan Qi 190 13 0 07 Oct 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningGlobal Communications Conference (GLOBECOM), 2022 Feng Wang M. C. Gursoy Senem Velipasalar 223 3 0 12 Sep 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A. Kanduri Sina Shahhosseini Emad Kasaeyan Naeini Hamid Alikhani P. Liljeberg N. Dutt Amir M. Rahmani 172 8 0 04 Aug 2022
Making a Spiking Net Work: Robust brain-like unsupervised machine learning Peter G. Stratton Andrew Wabnitz Chip Essam A. Cheung T. Hamilton OOD 233 5 0 02 Aug 2022
Membership Inference Attacks via Adversarial Examples Hamid Jalalzai Elie Kadoche Rémi Leluc Vincent Plassier AAML FedML MIACV 198 8 0 27 Jul 2022
CFLIT: Coexisting Federated Learning and Information TransferIEEE Transactions on Wireless Communications (TWC), 2022 Zehong Lin Hang Liu Y. Zhang 180 13 0 26 Jul 2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical PerspectiveIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Guangjing Huang Xu Chen Ouyang Tao Qian Ma Lin Chen Junshan Zhang FedML 143 32 0 25 Jul 2022
A Survey on Collaborative DNN Inference for Edge IntelligenceMachine Intelligence Research (MIR), 2022 Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 237 75 0 16 Jul 2022
Towards Semantic Communication Protocols: A Probabilistic Logic PerspectiveIEEE Journal on Selected Areas in Communications (JSAC), 2022 Sejin Seo Jihong Park Seung-Woo Ko Jinho Choi M. Bennis Seong-Lyun Kim 150 29 0 08 Jul 2022
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI Dingzhu Wen Peixi Liu Guangxu Zhu Yuanming Shi Jie Xu Yonina C. Eldar Shuguang Cui 159 177 0 03 Jul 2022
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous NetworksIEEE Network (IEEE Netw.), 2022 M. A. Hossain A. Hossain N. Ansari 115 49 0 04 Jun 2022
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting TransmissionIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022 Seok-Hwan Park Hoon Lee 143 12 0 03 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022 Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 279 520 0 01 Jun 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 306 34 0 03 May 2022
Rate-Constrained Remote Contextual BanditsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022 Francesco Pase Deniz Gündüz M. Zorzi 118 9 0 26 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated LearningIEEE Transactions on Wireless Communications (TWC), 2022 Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 106 11 0 16 Apr 2022
Enabling All In-Edge Deep Learning: A Literature ReviewIEEE Access (IEEE Access), 2022 Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 233 35 0 07 Apr 2022
Efficient Fully Distributed Federated Learning with Adaptive Local Links E. Georgatos C. Mavrokefalidis K. Berberidis OOD 120 4 0 23 Mar 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud NetworksACM Transactions on Embedded Computing Systems (TECS), 2022 Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 187 18 0 21 Feb 2022

168

0

20 Nov 2025

Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function

259

3

0

01 Apr 2025

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI ModelsACM Computing Surveys (ACM Comput. Surv.), 2025

362

57

0

08 Mar 2025

Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive DeploymentInternational Conference on Artificial Neural Networks (ICANN), 2025

Xubin Wang

Weijia Jia

441

21

0

04 Jan 2025

Delayed Random Partial Gradient Averaging for Federated LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023

Xinyi Hu

FedML

254

0

31 Dec 2024

Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored ClippingInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2024

Jiaxing Li

Zihan Chen

Kai Fong Ernest Chong

Bikramjit Das

Tony Q.S. Quek

Howard H. Yang

437

2

0

23 Sep 2024

Parallel Split Learning with Global Sampling

290

2

0

22 Jul 2024

Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024

Feng Wang

M. C. Gursoy

Senem Velipasalar

219

3

0

15 May 2024

Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks

Leandros Tassiulas

216

12

0

22 Apr 2024

Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey

Xiping Hu

323

22

0

09 Apr 2024

Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures

226

2

0

31 Jan 2024

Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities

315

8

0

22 Dec 2023

LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices

Sangeetha Abdu Jyothi

201

6

0

01 Dec 2023

Prototype of deployment of Federated Learning with IoT devicesACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN), 2022

Pablo García Santaclara

Ana Fernández-Vilas

R. Redondo

131

12

0

24 Nov 2023