Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

6 August 2020

Mérouane Debbah

Papers citing "Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications"

50 / 79 papers shown

Title
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation Gleb I. Radchenko Victoria Andrea Fill 26 0 0 11 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 37 5 0 02 Oct 2024
Compute-Update Federated Learning: A Lattice Coding Approach Seyed Mohammad Azimi-Abarghouyi L. Varshney FedML 30 1 0 10 Sep 2024
Rate-Constrained Quantization for Communication-Efficient Federated Learning Shayan Mohajer Hamidi Ali Bereyhi FedML MQ 25 1 0 10 Sep 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 36 2 0 02 Aug 2024
Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks Alakesh Kalita 21 4 0 30 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 30 0 0 31 May 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems Xiaofei Wang Yunfeng Zhao Chao Qiu Qinghua Hu Victor C. M. Leung 29 6 0 20 Apr 2024
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices Gleb I. Radchenko Victoria Andrea Fill 40 1 0 14 Mar 2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching Sujin Kook Won-Yong Shin Seong-Lyun Kim Seung-Woo Ko 24 1 0 19 Feb 2024
Uncertainty Estimation in Multi-Agent Distributed Learning Gleb I. Radchenko Victoria Andrea Fill 25 0 0 22 Nov 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 30 10 0 22 Nov 2023
Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication Jinhyuk Choi Jihong Park Seung-Woo Ko Jinho D. Choi M. Bennis Seong-Lyun Kim 33 3 0 13 Oct 2023
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework Jingheng Zheng Wanli Ni Hui Tian Deniz Gunduz Tony Q. S. Quek Zhu Han FedML 35 8 0 04 Oct 2023
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions Andrea Testa Guido Carnevale G. Notarstefano 26 10 0 08 Sep 2023
Robust Online Learning over Networks Nicola Bastianello D. Deplano M. Franceschelli Karl H. Johansson OffRL 24 3 0 01 Sep 2023
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation Soohyun Park Jae Pyoung Kim C. Park Soyi Jung Joongheon Kim 30 20 0 03 Aug 2023
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare Won Joon Yun Samuel Kim Joongheon Kim 14 1 0 28 Jun 2023
A Subspace Projection Approach to Autoencoder-based Anomaly Detection Jinho D. Choi Jihong Park Abhinav Japesh Adarsh UQCV 36 2 0 15 Feb 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems C. Park Won Joon Yun Jae Pyoung Kim Tiago Koketsu Rodrigues Soohyun Park Soyi Jung Joongheon Kim 21 35 0 09 Feb 2023
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks Fadhel Ayed Antonio De Domenico A. García‐Rodríguez David López-Pérez 13 4 0 12 Jan 2023
Enabling the Wireless Metaverse via Semantic Multiverse Communication Jihong Park Jinho D. Choi Seong-Lyun Kim M. Bennis 32 22 0 13 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 19 4 0 04 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception Hankyul Baek Yoo Jeong Ha Ha M. Yoo Soyi Jung Joongheon Kim 20 0 0 07 Nov 2022
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP Shiva Raj Pokhrel Jinho D. Choi A. Walid 30 6 0 03 Nov 2022
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification Won Joon Yun Hankyul Baek Joongheon Kim VLM 20 11 0 30 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 46 32 0 24 Oct 2022
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications Hankyul Baek Won Joon Yun Joongheon Kim 3DPC 13 4 0 18 Oct 2022
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles Soohyun Park C. Park Soyi Jung Minseok Choi Joongheon Kim 16 1 0 04 Oct 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control C. Park Won Joon Yun Soyi Jung C. Cordeiro Joongheon Kim 36 13 0 03 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent Yicheng Chen Rick S. Blum Brian M. Sadler FedML 16 4 0 24 Sep 2022
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks Haemin Lee Seokshin Son Won Joon Yun Joongheon Kim Soyi Jung Dong Hwa Kim 19 0 0 02 Sep 2022
Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems Ruyu Luo Wanli Ni Hui Tian Julian Cheng AI4CE 18 18 0 17 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 24 22 0 08 Jul 2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning Sihun Baek Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 21 10 0 01 Jul 2022
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification Youngkee Kim Soyi Jung Minseok Choi Joongheon Kim OOD 11 1 0 05 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
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks Seokshin Son Soohyun Park Haemin Lee Joongheon Kim Soyi Jung Donghwa Kim 30 1 0 27 May 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 25 26 0 03 May 2022
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design Won Joon Yun Yunseok Kwak Jae Pyoung Kim Hyunhee Cho Soyi Jung Jihong Park Joongheon Kim 42 41 0 20 Mar 2022
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 47 41 0 19 Feb 2022
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification Youngkee Kim Won Joon Yun Youn Kyu Lee Soyi Jung Joongheon Kim 18 5 0 17 Feb 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 22 5 0 26 Dec 2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning Shraman Pal Mansi Uniyal Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis M. Jeon Jinho D. Choi FedML 20 29 0 11 Dec 2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 44 1 0 05 Dec 2021
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
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 30 26 0 02 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021