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2210.15707
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FedAudio: A Federated Learning Benchmark for Audio Tasks

v1v2v3v4 (latest)

FedAudio: A Federated Learning Benchmark for Audio Tasks

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

27 October 2022

Shrikanth S. Narayanan

Salman Avestimehr

ArXiv (abs)PDF HTML Github (49★)

Papers citing "FedAudio: A Federated Learning Benchmark for Audio Tasks"

13 / 13 papers shown

High-Energy Concentration for Federated Learning in Frequency Domain

High-Energy Concentration for Federated Learning in Frequency Domain

180

0

0

16 Sep 2025

FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification

FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification

John H. L. Hansen

Shivakumara Palaiahnakote

228

0

0

11 Jun 2025

Training Machine Learning models at the Edge: A Survey

Training Machine Learning models at the Edge: A Survey

Aymen Rayane Khouas

Mohamed Reda Bouadjenek

425

25

0

05 Mar 2024

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

Hideaki Takahashi

269

14

0

15 Oct 2023

Composite federated learning with heterogeneous data

Composite federated learning with heterogeneous dataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

Mikael Johansson

228

9

0

04 Sep 2023

Federated Representation Learning for Automatic Speech Recognition

Federated Representation Learning for Automatic Speech Recognition

Guruprasad V Ramesh

Gopinath Chennupati

Anit Kumar Sahu

203

0

0

03 Aug 2023

FedMultimodal: A Benchmark For Multimodal Federated Learning

FedMultimodal: A Benchmark For Multimodal Federated LearningKnowledge Discovery and Data Mining (KDD), 2023

Anil Ramakrishna

Salman Avestimehr

Shrikanth Narayanan

355

94

0

15 Jun 2023

PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches
For Speech Emotion Recognition Using Pre-trained Speech Models

PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech ModelsAffective Computing and Intelligent Interaction (ACII), 2023

Shrikanth Narayanan

262

41

0

08 Jun 2023

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

Dimitrios Dimitriadis

Shrikanth S. Narayanan

Salman Avestimehr

486

31

0

03 Jun 2023

TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech
Embeddings For Speech Emotion Recognition

TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

Shrikanth Narayanan

167

11

0

18 May 2023

TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with
Adaptive Partial Training

TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training

Salman Avestimehr

236

50

0

14 Apr 2023

Secure Federated Learning against Model Poisoning Attacks via Client
Filtering

Secure Federated Learning against Model Poisoning Attacks via Client Filtering

Salman Avestimehr

295

20

0

31 Mar 2023

A Review of Speech-centric Trustworthy Machine Learning: Privacy,
Safety, and Fairness

A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and FairnessAPSIPA Transactions on Signal and Information Processing (TASIP), 2022

Nicholas Mehlman

Xuan Shi

Aditya Kommineni

and Shrikanth Narayanan

269

37

0

18 Dec 2022