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2110.05607
Cited By
Partial Variable Training for Efficient On-Device Federated Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
11 October 2021
Tien-Ju Yang
Dhruv Guliani
F. Beaufays
Giovanni Motta
FedML
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Papers citing
"Partial Variable Training for Efficient On-Device Federated Learning"
17 / 17 papers shown
Why Go Full? Elevating Federated Learning Through Partial Network Updates
Neural Information Processing Systems (NeurIPS), 2024
Haolin Wang
Xuefeng Liu
Jianwei Niu
Wenkai Guo
Shaojie Tang
FedML
487
5
0
15 Oct 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training
Yebo Wu
Li Li
Chunlin Tian
Dubing Chen
Chengzhong Xu
FedML
340
5
0
20 Aug 2024
Federated Learning of Large ASR Models in the Real World
Yonghui Xiao
Yuxin Ding
Changwan Ryu
P. Zadrazil
Francoise Beaufays
AI4CE
192
0
0
19 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
International Workshop on Quality of Service (IWQoS), 2024
Wu Yebo
Li Li
Tian Chunlin
Chang Tao
Lin Chi
Wang Cong
Xu Cheng-Zhong
FedML
223
18
0
17 Aug 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024
Feng Wang
M. C. Gursoy
Senem Velipasalar
259
4
0
15 May 2024
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zexi Li
Zhiqi Li
Jie Lin
Zhenyuan Zhang
Tao Lin
Chao Wu
Tao Lin
Chao Wu
455
5
0
02 Feb 2024
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
IEEE International Conference on Computer Vision (ICCV), 2023
Erdong Hu
Yu-Shuen Tang
Anastasios Kyrillidis
C. Jermaine
FedML
306
13
0
06 Sep 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training
International Conference on Machine Learning (ICML), 2023
Egor Shulgin
Peter Richtárik
AI4CE
382
8
0
28 Jun 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
309
52
0
14 Apr 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
APSIPA Transactions on Signal and Information Processing (TASIP), 2022
Tiantian Feng
Rajat Hebbar
Nicholas Mehlman
Xuan Shi
Aditya Kommineni
and Shrikanth Narayanan
310
39
0
18 Dec 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Neural Information Processing Systems (NeurIPS), 2022
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
535
216
0
03 Dec 2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
Zachary B. Charles
Kallista A. Bonawitz
Stanislav Chiknavaryan
H. B. McMahan
Blaise Agüera y Arcas
FedML
166
14
0
19 Aug 2022
Decoupled Federated Learning for ASR with Non-IID Data
Interspeech (Interspeech), 2022
Hanjing Zhu
Yongfeng Zhang
Gaofeng Cheng
Pengyuan Zhang
Yonghong Yan
256
14
0
18 Jun 2022
Online Model Compression for Federated Learning with Large Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Tien-Ju Yang
Yonghui Xiao
Giovanni Motta
F. Beaufays
Rajiv Mathews
Mingqing Chen
FedML
MQ
263
11
0
06 May 2022
Scaling Language Model Size in Cross-Device Federated Learning
Jae Hun Ro
Theresa Breiner
Lara McConnaughey
Mingqing Chen
A. Suresh
Shankar Kumar
Rajiv Mathews
FedML
170
35
0
31 Mar 2022
Federated Domain Adaptation for ASR with Full Self-Supervision
Interspeech (Interspeech), 2022
Junteng Jia
Jay Mahadeokar
Weiyi Zheng
Yuan Shangguan
Ozlem Kalinli
Frank Seide
224
16
0
30 Mar 2022
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization
Kilian Pfeiffer
Martin Rapp
R. Khalili
J. Henkel
FedML
374
18
0
10 Mar 2022
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