Cooperative Learning via Federated Distillation over Fading Channels

3 February 2020

Osvaldo Simeone

Papers citing "Cooperative Learning via Federated Distillation over Fading Channels"

22 / 22 papers shown

Title
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 43 8 0 01 Jun 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 36 8 0 26 Feb 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Zhuan Shi Gang Wang Xiaoguang Liu Lizhen Cui Xiaoxiao Li FedML 40 6 0 14 Dec 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 37 7 0 12 Nov 2023
Heterogeneous Federated Learning Using Knowledge Codistillation Jared Lichtarge Ehsan Amid Shankar Kumar Tien-Ju Yang Rohan Anil Rajiv Mathews FedML 26 0 0 04 Oct 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation Sheng Wan Dashan Gao Hanlin Gu Daning Hu FedML 8 7 0 09 May 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header Liping Yi Gang Wang Xiaoguang Liu Zhuan Shi Han Yu FedML 24 71 0 23 Mar 2023
Federated Learning based Hierarchical 3D Indoor Localization Yaya Etiabi Wafa Njima El-Mehdi Amhoud 3DV 11 12 0 01 Mar 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 27 4 0 14 Jan 2023
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Federated Distillation based Indoor Localization for IoT Networks Yaya Etiabi Marwa Chafii El-Mehdi Amhoud FedML 28 15 0 23 May 2022
Federated Learning with Downlink Device Selection M. Amiri Sanjeev R. Kulkarni H. Vincent Poor FedML 13 9 0 07 Jul 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 23 401 0 05 Apr 2021
Linear Regression over Networks with Communication Guarantees Konstantinos Gatsis 11 3 0 06 Mar 2021
Adaptive Scheduling for Machine Learning Tasks over Networks Konstantinos Gatsis 11 3 0 25 Jan 2021
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 71 92 0 19 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
Convergence of Federated Learning over a Noisy Downlink M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 6 74 0 25 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data Sohei Itahara Takayuki Nishio Yusuke Koda M. Morikura Koji Yamamoto FedML 12 248 0 14 Aug 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 25 161 0 06 Aug 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
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 272 404 0 09 Apr 2018