Federated Learning for Keyword Spotting

9 October 2018

David Leroy

A. Coucke

Thibaut Lavril

Thibault Gisselbrecht

Joseph Dureau

FedML

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Papers citing "Federated Learning for Keyword Spotting"

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Title
A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models Zuan Xie Yang Xu Hongli Xu Yunming Liao Zhiwei Yao 56 0 0 23 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 90 2 0 24 Feb 2025
FedGES: A Federated Learning Approach for BN Structure Learning Pablo Torrijos J. A. Gamez J. M. Puerta FedML 74 1 0 03 Feb 2025
Privacy-Preserving Edge Speech Understanding with Tiny Foundation Models A. Benazir Felix Xiaozhu Lin 47 0 0 29 Jan 2025
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition Rastko Gajanin Anastasiya Danilenka Andrea Morichetta Stefan Nastic 110 2 0 21 Nov 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 45 6 0 02 Oct 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 6 0 17 Sep 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors Manuele Rusci Francesco Paci Marco Fariselli Eric Flamand Tinne Tuytelaars 33 0 0 22 Aug 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 32 0 0 03 Jul 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 Jun 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning Hong Huang Weiming Zhuang Chen Chen Lingjuan Lyu 65 7 0 21 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 39 2 0 18 Mar 2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service Yu Liu Zibo Wang Yifei Zhu Chen Chen FedML 25 3 0 15 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 45 3 0 02 Feb 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 38 10 0 22 Nov 2023
Dynamically Weighted Federated k-Means Patrick Holzer Tania Jacob Shubham Kavane FedML 22 1 0 23 Oct 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 33 4 0 15 Oct 2023
Federated Representation Learning for Automatic Speech Recognition Guruprasad V Ramesh Gopinath Chennupati Milind Rao Anit Kumar Sahu Ariya Rastrow J. Droppo 26 0 0 03 Aug 2023
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning Bocheng Chen Nikolay Ivanov Guangjing Wang Qiben Yan 14 5 0 16 Jul 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients Hao Fei Fuxun Yu Yongbo Yu Minjia Zhang Ang Li Xiang Chen FedML 13 2 0 25 May 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 24 0 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 7 0 16 May 2023
Semi-Supervised Federated Learning for Keyword Spotting Enmao Diao Eric W. Tramel Jie Ding Tao Zhang 14 2 0 09 May 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 32 1 0 11 Apr 2023
iDML: Incentivized Decentralized Machine Learning Haoxiang Yu Hsiao-Yuan Chen Sangsu Lee S. Vishwanath J. Zheng Christine Julien FedML 16 6 0 10 Apr 2023
Gated Compression Layers for Efficient Always-On Models Haiguang Li T. Thormundsson I. Poupyrev N. Gillian 44 2 0 15 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 23 10 0 07 Mar 2023
Speech Privacy Leakage from Shared Gradients in Distributed Learning Zhuohang Li Jiaxin Zhang Jian-Dong Liu FedML 32 1 0 21 Feb 2023
Federated Learning for ASR based on Wav2vec 2.0 Tuan Nguyen Salima Mdhaffar N. Tomashenko J. Bonastre Yannick Esteve FedML 47 10 0 20 Feb 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 22 30 0 19 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 15 5 0 22 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 43 31 0 18 Dec 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance Haotong Qin Xudong Ma Yifu Ding X. Li Yang Zhang Zejun Ma Jiakai Wang Jie Luo Xianglong Liu MQ 40 20 0 13 Nov 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition Chao-Han Huck Yang Jun Qi Sabato Marco Siniscalchi Chin-Hui Lee 26 4 0 12 Oct 2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition Chao-Han Huck Yang I-Fan Chen A. Stolcke Sabato Marco Siniscalchi Chin-Hui Lee 32 2 0 11 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 28 2 0 04 Oct 2022
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings Ashish Gupta Hari Prabhat Gupta Sajal K. Das 31 1 0 03 Sep 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 25 12 0 19 Aug 2022
FedMR: Fedreated Learning via Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Xian Wei Mingsong Chen FedML 16 0 0 16 Aug 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 37 13 0 14 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 20 0 0 22 Jun 2022
sqSGD: Locally Private and Communication Efficient Federated Learning Yan Feng Tao Xiong Ruofan Wu Lingjuan Lv Leilei Shi FedML 25 2 0 21 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting Xin-Chun Li Jin-Lin Tang Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao Le Gan De-Chuan Zhan FedML AAML 27 9 0 17 Jun 2022
A Benchmark for Federated Hetero-Task Learning Liuyi Yao Dawei Gao Zhen Wang Yuexiang Xie Weirui Kuang Daoyuan Chen Haohui Wang Chenhe Dong Bolin Ding Yaliang Li FedML 13 9 0 07 Jun 2022