Wireless Network Intelligence at the Edge

7 December 2018

Mérouane Debbah

Papers citing "Wireless Network Intelligence at the Edge"

50 / 76 papers shown

Title
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 50 0 0 08 Mar 2025
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 39 0 0 31 Dec 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q. S. Quek Howard H. Yang 32 0 0 23 Sep 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 33 1 0 22 Jul 2024
Prototype of deployment of Federated Learning with IoT devices Pablo García Santaclara Ana Fernández Vilas R. Redondo 23 10 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 41 1 0 16 Nov 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 28 0 0 01 Aug 2023
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting Hai Wu Qunsong Zeng Kaibin Huang 19 7 0 28 Jul 2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks S. Krishnan Jihong Park S. Sagar Gregory Sherman Benjamin Campbell Jinho D. Choi 21 4 0 01 Jun 2023
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems Yulan Gao Ziqiang Ye Han Yu Zehui Xiong Yue Xiao Dusit Niyato FedML 13 6 0 01 Nov 2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks Kaibin Huang Hai Wu Zhiyan Liu Xiaojuan Qi 8 9 0 07 Oct 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 28 7 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 13 4 0 02 Aug 2022
Membership Inference Attacks via Adversarial Examples Hamid Jalalzai Elie Kadoche Rémi Leluc Vincent Plassier AAML FedML MIACV 27 7 0 27 Jul 2022
A Survey on Collaborative DNN Inference for Edge Intelligence Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 28 49 0 16 Jul 2022
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective Sejin Seo Jihong Park Seung-Woo Ko Jinho D. Choi M. Bennis Seong-Lyun Kim 22 22 0 08 Jul 2022
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networks M. A. Hossain A. Hossain N. Ansari 14 38 0 04 Jun 2022
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission Seok-Hwan Park Hoon Lee 28 12 0 03 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Rate-Constrained Remote Contextual Bandits Francesco Pase Deniz Gündüz M. Zorzi 22 8 0 26 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 9 9 0 16 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 21 22 0 07 Apr 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 22 17 0 21 Feb 2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks Seyyedali Hosseinalipour Su Wang Nicolò Michelusi Vaneet Aggarwal Christopher G. Brinton David J. Love M. Chiang 15 27 0 07 Feb 2022
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 66 21 0 05 Dec 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 49 72 0 12 Sep 2021
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference J. Farley A. Gerstlauer FedML 21 5 0 14 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 175 411 0 14 Jul 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 30 36 0 29 Jun 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 23 35 0 20 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Madhusanka Manimel Wadu S. Samarakoon M. Bennis 16 51 0 12 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective Anousheh Gholami Nariman Torkzaban John S. Baras 38 3 0 16 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 21 401 0 05 Apr 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 27 37 0 16 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning Canh T. Dinh N. H. Tran Tuan Dung Nguyen Wei Bao A. R. Balef B. Zhou Albert Y. Zomaya FedML 16 15 0 10 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 34 111 0 02 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han C. Hong FedML 14 49 0 25 Nov 2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 16 5 0 09 Nov 2020
Robustness and Diversity Seeking Data-Free Knowledge Distillation Pengchao Han Jihong Park Shiqiang Wang Yejun Liu 15 12 0 07 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 12 90 0 04 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications Emilio Calvanese Strinati Sergio Barbarossa 17 386 0 04 Nov 2020
Towards Self-learning Edge Intelligence in 6G Yong Xiao Guangming Shi Yingyu Li Walid Saad H. Vincent Poor 25 94 0 01 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues Leila Sedghi Zohaib Ijaz Md. Noor-A.-Rahim K. Witheephanich Dirk Pesch AI4CE 20 15 0 27 Sep 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 21 13 0 14 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 23 161 0 06 Aug 2020
Challenges of AI in Wireless Networks for IoT Ijaz Ahmad Shahriar Shahabuddin T. Kumar E. Harjula M. Meisel M. Juntti T. Sauter M. Ylianttila 8 18 0 09 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad C. Hong M. Shikh-Bahaei H. Vincent Poor Shuguang Cui FedML 19 53 0 05 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 17 108 0 09 Jun 2020