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2012.00632
Cited By
Communication-Efficient Federated Distillation
1 December 2020
Felix Sattler
Arturo Marbán
R. Rischke
Wojciech Samek
FedML
DD
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Papers citing
"Communication-Efficient Federated Distillation"
26 / 26 papers shown
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
Ahmed Mujtaba
Gleb Radchenko
Radu Prodan
Marc Masana
FedML
179
0
0
20 Aug 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
Chen Zhang
Husheng Li
Xiang Liu
Linshan Jiang
Danxin Wang
FedML
203
0
0
30 Jul 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xiuwen Fang
Mang Ye
Di Lin
FedML
479
6
0
12 Mar 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
1.1K
0
0
10 Feb 2025
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
Sufen Ren
Yule Hu
Shengchao Chen
Guanjun Wang
336
2
0
02 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
239
19
0
16 Jun 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
Zhuansun Ying
Dandan Li
Xiaohong Huang
Caijun Sun
FedML
325
4
0
06 May 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
310
56
0
03 Mar 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
257
33
0
26 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
384
3
0
19 Feb 2024
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
Akihito Taya
Yuuki Nishiyama
K. Sezaki
FedML
183
0
0
19 Dec 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
IEEE Journal on Selected Areas in Communications (JSAC), 2023
Pengchao Han
Xingyan Shi
Jianwei Huang
FedML
471
11
0
28 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Mohammad Mahdi Rahimi
Hasnain Irshad Bhatti
Younghyun Park
Humaira Kousar
Jaekyun Moon
FedML
240
14
0
13 Nov 2023
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
Zihao Zhao
Zhenpeng Shi
Yang Liu
Wenbo Ding
FedML
286
1
0
04 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
245
86
0
28 Sep 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
485
515
0
20 Jul 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
Cluster Computing (CC), 2022
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
172
10
0
09 Jan 2023
Decentralized Learning with Multi-Headed Distillation
Computer Vision and Pattern Recognition (CVPR), 2022
A. Zhmoginov
Mark Sandler
Nolan Miller
Gus Kristiansen
Max Vladymyrov
FedML
158
7
0
28 Nov 2022
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
International Conference on Artificial Neural Networks (ICANN), 2022
Amit Kumar Kundu
Joseph Jaja
FedML
162
3
0
19 Jul 2022
Federated Distillation based Indoor Localization for IoT Networks
IEEE Sensors Journal (IEEE Sens. J.), 2022
Yaya Etiabi
Marwa Chafii
El-Mehdi Amhoud
FedML
230
20
0
23 May 2022
Towards Model Agnostic Federated Learning Using Knowledge Distillation
International Conference on Learning Representations (ICLR), 2021
A. Afonin
Sai Praneeth Karimireddy
FedML
269
53
0
28 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
IEEE International Conference on Distributed Computing Systems (ICDCS), 2021
Lan Zhang
Dapeng Wu
Xiaoyong Yuan
FedML
270
70
0
08 Sep 2021
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
250
84
0
27 Jul 2021
Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data
Dezhong Yao
Wanning Pan
Yutong Dai
Yao Wan
Xiaofeng Ding
Hai Jin
Zheng Xu
Lichao Sun
FedML
541
60
0
30 Jun 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt
Usama Zafar
KuoYeh Shen
Felix Sattler
Dan Li
Wojciech Samek
FedML
243
4
0
27 Jun 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Felix Sattler
Tim Korjakow
R. Rischke
Wojciech Samek
FedML
215
148
0
04 Feb 2021
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