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2011.02367
Cited By
Federated Knowledge Distillation
4 November 2020
Hyowoon Seo
Jihong Park
Seungeun Oh
M. Bennis
Seong-Lyun Kim
FedML
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Papers citing
"Federated Knowledge Distillation"
47 / 47 papers shown
Federated Learning-Distillation Alternation for Resource-Constrained IoT
Rafael Valente da Silva
Onel L. A. López
R. D. Souza
198
2
0
26 May 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Yuting He
Yiqiang Chen
Xiaodong Yang
H. Yu
Yi-Hua Huang
Yang Gu
FedML
502
31
0
20 Apr 2025
Evidential Federated Learning for Skin Lesion Image Classification
International Conference on Pattern Recognition (ICPR), 2024
Rutger Hendrix
Federica Proietto Salanitri
C. Spampinato
S. Palazzo
Ulas Bagci
VLM
FedML
213
2
0
15 Nov 2024
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
International Conference on Computer and Knowledge Engineering (ICCKE), 2024
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
208
2
0
09 Sep 2024
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DD
FedML
408
27
0
02 Apr 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
357
59
0
03 Mar 2024
LEFL: Low Entropy Client Sampling in Federated Learning
Waqwoya Abebe
J. P. Muñoz
Ali Jannesari
FedML
363
2
0
29 Dec 2023
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications
Hongda Shen
Eren Kurshan
AAML
246
3
0
28 Dec 2023
Heterogeneous Federated Learning Using Knowledge Codistillation
Jared Lichtarge
Ehsan Amid
Shankar Kumar
Tien-Ju Yang
Rohan Anil
Rajiv Mathews
FedML
291
0
0
04 Oct 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Yu-bao Yan
Chun-Mei Feng
Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye
Mong Goh
Ping Li
Rick Siow
Lei Zhu
F. I. C. L. Philip Chen
FedML
293
14
0
20 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
355
46
0
20 Jul 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
International Conference on Machine Learning (ICML), 2023
Junyuan Hong
Yi Zeng
Shuyang Yu
Lingjuan Lyu
R. Jia
Jiayu Zhou
AAML
152
16
0
04 Jun 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher
Nature Communications (Nat. Commun.), 2023
Jiawei Shao
Fangzhao Wu
Jun Zhang
FedML
414
67
0
04 Apr 2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
The Web Conference (WWW), 2023
Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
FedML
283
37
0
10 Mar 2023
Memory-adaptive Depth-wise Heterogeneous Federated Learning
Kai Zhang
Yutong Dai
Hongyi Wang
Eric P. Xing
Hang Zhang
Lichao Sun
FedML
252
10
0
08 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
The Web Conference (WWW), 2023
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
408
73
0
21 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning
The Web Conference (WWW), 2023
Xiangrong Zhu
Guang-pu Li
Wei Hu
MU
FedML
366
87
0
04 Feb 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
181
11
0
09 Jan 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
IEEE Communications Surveys and Tutorials (COMST), 2022
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
589
463
0
15 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Alessio Mora
Irene Tenison
Paolo Bellavista
Irina Rish
FedML
252
52
0
09 Nov 2022
Meta Knowledge Condensation for Federated Learning
International Conference on Learning Representations (ICLR), 2022
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
289
38
0
29 Sep 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
318
20
0
16 Aug 2022
Multi-Level Branched Regularization for Federated Learning
International Conference on Machine Learning (ICML), 2022
Jinkyu Kim
Geeho Kim
Bohyung Han
FedML
360
79
0
14 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
288
23
0
23 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
363
13
0
05 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
422
39
0
03 May 2022
FedDKD: Federated Learning with Decentralized Knowledge Distillation
Xinjia Li
Boyu Chen
Wenlian Lu
FedML
281
36
0
02 May 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
IEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2021
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
268
126
0
30 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
220
1
0
05 Dec 2021
Towards Model Agnostic Federated Learning Using Knowledge Distillation
International Conference on Learning Representations (ICLR), 2021
A. Afonin
Sai Praneeth Karimireddy
FedML
302
55
0
28 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
171
30
0
19 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
286
4
0
19 Oct 2021
Neural Tangent Kernel Empowered Federated Learning
Kai Yue
Richeng Jin
Ryan Pilgrim
Chau-Wai Wong
D. Baron
H. Dai
FedML
182
24
0
07 Oct 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
Wei-wei Zhu
Jiebo Luo
Andrew D. White
FedML
366
49
0
15 Sep 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
307
69
0
08 Sep 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Nature Communications (Nat Commun), 2021
Chuhan Wu
Fangzhao Wu
Lingjuan Lyu
Yongfeng Huang
Xing Xie
FedML
368
534
0
30 Aug 2021
Semantics-Native Communication with Contextual Reasoning
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2021
Hyowoon Seo
Jihong Park
M. Bennis
Mérouane Debbah
LRM
328
53
0
12 Aug 2021
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
Srikanth Chandar
Pravin Chandran
Raghavendra Bhat
Avinash Chakravarthi
AI4CE
311
6
0
12 Aug 2021
FedLab: A Flexible Federated Learning Framework
Journal of machine learning research (JMLR), 2021
Dun Zeng
Siqi Liang
Xiangjing Hu
Hui Wang
Zenglin Xu
FedML
500
157
0
24 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
603
61
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
292
4
0
27 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
International Conference on Machine Learning (ICML), 2021
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
541
938
0
20 May 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
316
516
0
05 Apr 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
271
148
0
04 Feb 2021
Communication-Efficient Federated Distillation
Felix Sattler
Arturo Marbán
R. Rischke
Wojciech Samek
FedML
DD
355
42
0
01 Dec 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
398
178
0
06 Aug 2020
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
2.1K
4,015
0
09 Jun 2020
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