Zobrazeno 1 - 10
of 1 613
pro vyhledávání: '"Shrikanth, S."'
Multimodal Federated Learning frequently encounters challenges of client modality heterogeneity, leading to undesired performances for secondary modality in multimodal learning. It is particularly prevalent in audiovisual learning, with audio is ofte
Externí odkaz:
http://arxiv.org/abs/2408.15803
Autor:
Zhang, Tuo, Feng, Tiantian, Ni, Yibin, Cao, Mengqin, Liu, Ruying, Butler, Katharine, Weng, Yanjun, Zhang, Mi, Narayanan, Shrikanth S., Avestimehr, Salman
Large vision-language models (VLMs) have demonstrated remarkable abilities in understanding everyday content. However, their performance in the domain of art, particularly culturally rich art forms, remains less explored. As a pearl of human wisdom a
Externí odkaz:
http://arxiv.org/abs/2406.10318
Automatic Speech Understanding (ASU) aims at human-like speech interpretation, providing nuanced intent, emotion, sentiment, and content understanding from speech and language (text) content conveyed in speech. Typically, training a robust ASU model
Externí odkaz:
http://arxiv.org/abs/2404.17983
Autor:
Baird, Alice, Manzelli, Rachel, Tzirakis, Panagiotis, Gagne, Chris, Li, Haoqi, Allen, Sadie, Dieleman, Sander, Kulis, Brian, Narayanan, Shrikanth S., Cowen, Alan
The NeurIPS 2023 Machine Learning for Audio Workshop brings together machine learning (ML) experts from various audio domains. There are several valuable audio-driven ML tasks, from speech emotion recognition to audio event detection, but the communi
Externí odkaz:
http://arxiv.org/abs/2403.14048
Autor:
Alam, Samiul, Zhang, Tuo, Feng, Tiantian, Shen, Hui, Cao, Zhichao, Zhao, Dong, Ko, JeongGil, Somasundaram, Kiran, Narayanan, Shrikanth S., Avestimehr, Salman, Zhang, Mi
There is a significant relevance of federated learning (FL) in the realm of Artificial Intelligence of Things (AIoT). However, most existing FL works do not use datasets collected from authentic IoT devices and thus do not capture unique modalities a
Externí odkaz:
http://arxiv.org/abs/2310.00109
Autor:
Zhang, Tuo, Feng, Tiantian, Alam, Samiul, Dimitriadis, Dimitrios, Lee, Sunwoo, Zhang, Mi, Narayanan, Shrikanth S., Avestimehr, Salman
In this work, we propose GPT-FL, a generative pre-trained model-assisted federated learning (FL) framework. At its core, GPT-FL leverages generative pre-trained models to generate diversified synthetic data. These generated data are used to train a d
Externí odkaz:
http://arxiv.org/abs/2306.02210
Autor:
Vutha Nhim, Alfonso E. Bencomo-Alvarez, Luis Alvarado, Michelle Kilcoyne, Mayra A. Gonzalez-Henry, Idaly M. Olivas, Mehrshad Keivan, Sumit Gaur, Zuber D. Mulla, Alok K. Dwivedi, Shrikanth S. Gadad, Anna M. Eiring
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundBreast cancer (BC) affects racial and ethnic groups differently, leading to disparities in clinical presentation and outcomes. It is unclear how Hispanic ethnicity affects BC outcomes based on geographic location and proximity to the United
Externí odkaz:
https://doaj.org/article/587651d505184ce987d2e66a61ded02e
Autor:
Jenny L. Soiffer, Alexander J. Fife, Shrikanth S. Gadad, Javier A. Laurini, Julia A. Elvin, Sara S. Isani, Ken Y. Lin
Publikováno v:
Gynecologic Oncology Reports, Vol 54, Iss , Pp 101426- (2024)
Externí odkaz:
https://doaj.org/article/0686fd3ebf9a4c51bdc76ea750ce2e73
Autor:
Zhang, Tuo, Feng, Tiantian, Alam, Samiul, Lee, Sunwoo, Zhang, Mi, Narayanan, Shrikanth S., Avestimehr, Salman
Federated learning (FL) has gained substantial attention in recent years due to the data privacy concerns related to the pervasiveness of consumer devices that continuously collect data from users. While a number of FL benchmarks have been developed
Externí odkaz:
http://arxiv.org/abs/2210.15707
Speech emotion recognition (SER) processes speech signals to detect and characterize expressed perceived emotions. Many SER application systems often acquire and transmit speech data collected at the client-side to remote cloud platforms for inferenc
Externí odkaz:
http://arxiv.org/abs/2112.13416