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2002.01337
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Cooperative Learning via Federated Distillation over Fading Channels
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
3 February 2020
Jinhyun Ahn
Osvaldo Simeone
Joonhyuk Kang
FedML
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Papers citing
"Cooperative Learning via Federated Distillation over Fading Channels"
22 / 22 papers shown
Optimal Transceiver Design in Over-the-Air Federated Distillation
Zihao Hu
Jia Yan
Ying-Jun Angela Zhang
Jun Zhang
Khaled B. Letaief
FedML
183
2
0
21 Jul 2025
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
426
22
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
273
35
0
26 Feb 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
FedML
521
18
0
14 Dec 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
260
10
0
12 Nov 2023
Heterogeneous Federated Learning Using Knowledge Codistillation
Jared Lichtarge
Ehsan Amid
Shankar Kumar
Tien-Ju Yang
Rohan Anil
Rajiv Mathews
FedML
287
0
0
04 Oct 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Sheng Wan
Dashan Gao
Hanlin Gu
Daning Hu
FedML
252
8
0
09 May 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
ACM Multimedia (ACM MM), 2023
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
469
161
0
23 Mar 2023
Federated Learning based Hierarchical 3D Indoor Localization
IEEE Wireless Communications and Networking Conference (WCNC), 2023
Yaya Etiabi
Wafa Njima
El-Mehdi Amhoud
3DV
131
21
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
342
12
0
14 Jan 2023
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Journal of the Franklin Institute (JFI), 2022
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
395
73
0
02 Aug 2022
Federated Distillation based Indoor Localization for IoT Networks
IEEE Sensors Journal (IEEE Sens. J.), 2022
Yaya Etiabi
Marwa Chafii
El-Mehdi Amhoud
FedML
252
22
0
23 May 2022
Federated Learning with Downlink Device Selection
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
M. Amiri
Sanjeev R. Kulkarni
H. Vincent Poor
FedML
273
11
0
07 Jul 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
IEEE Journal on Selected Areas in Communications (JSAC), 2021
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
307
511
0
05 Apr 2021
Linear Regression over Networks with Communication Guarantees
Conference on Learning for Dynamics & Control (L4DC), 2021
Konstantinos Gatsis
233
3
0
06 Mar 2021
Adaptive Scheduling for Machine Learning Tasks over Networks
American Control Conference (ACC), 2021
Konstantinos Gatsis
248
3
0
25 Jan 2021
Blind Federated Edge Learning
IEEE Transactions on Wireless Communications (TWC), 2020
M. Amiri
T. Duman
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
381
101
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
251
13
0
14 Sep 2020
Convergence of Federated Learning over a Noisy Downlink
IEEE Transactions on Wireless Communications (TWC), 2020
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
FedML
339
85
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
354
347
0
14 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
370
178
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
327
124
0
09 Jun 2020
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