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"

29 / 79 papers shown

Title
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data Yoo Jeong Ha M. Yoo Gusang Lee Soyi Jung Sae Won Choi Joongheon Kim Seehwan Yoo OOD 6 24 0 20 Aug 2021
Trends in Neural Architecture Search: Towards the Acceleration of Search Youngkee Kim Won Joon Yun Youn Kyu Lee Soyi Jung Joongheon Kim 12 5 0 19 Aug 2021
Spatio-Temporal Split Learning Joongheon Kim Seunghoon Park Soyi Jung Seehwan Yoo 11 9 0 13 Aug 2021
Quantum Neural Networks: Concepts, Applications, and Challenges Yunseok Kwak Won Joon Yun Soyi Jung Joongheon Kim 17 59 0 02 Aug 2021
Secure Aerial Surveillance using Split Learning Yoo Jeong Ha M. Yoo Soohyun Park Soyi Jung Joongheon Kim 18 9 0 19 Jul 2021
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms Haemin Lee Joongheon Kim 14 18 0 19 Jul 2021
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems Van-Dinh Nguyen Symeon Chatzinotas Björn E. Ottersten T. Duong FedML 14 16 0 04 Jul 2021
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks A. Rosato Massimo Panella Denis Kleyko 25 18 0 02 Jun 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 9 4 0 31 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games Won Joon Yun Sungwon Yi Joongheon Kim 14 10 0 21 May 2021
Communication-Efficient and Personalized Federated Lottery Ticket Learning Sejin Seo Seung-Woo Ko Jihong Park Seong-Lyun Kim M. Bennis FedML 47 15 0 26 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 32 401 0 05 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 25 417 0 05 Apr 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 22 16 0 14 Feb 2021
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks Qianqian Zhang A. Ferdowsi Walid Saad M. Bennis 19 32 0 02 Feb 2021
Distributed Zero-Order Optimization under Adversarial Noise A. Akhavan Massimiliano Pontil Alexandre B. Tsybakov 14 19 0 01 Feb 2021
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus Hang Chen Syed Ali Asif Jihong Park Chien-Chung Shen M. Bennis FedML 33 42 0 09 Jan 2021
Robustness and Diversity Seeking Data-Free Knowledge Distillation Pengchao Han Jihong Park Shiqiang Wang Yejun Liu 15 12 0 07 Nov 2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks Ju-Hyung Lee Jihong Park M. Bennis Young-Chai Ko 25 46 0 20 Oct 2020
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels Dingzhu Wen Ki-Jun Jeon M. Bennis Kaibin Huang 18 10 0 08 Oct 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
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning Anis Elgabli Jihong Park Chaouki Ben Issaid M. Bennis 15 54 0 03 Jul 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 199 434 0 04 Mar 2020
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 16 67 0 23 Oct 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 171 683 0 07 Dec 2010