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Tuo Zhang
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Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
T Zhang, L Gao, C He, M Zhang, B Krishnamachari, S Avestimehr
IEEE Internet of Things Magazine (IEEE IoTM), 2021
1712021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
T Zhang, C He, T Ma, M Ma, S Avestimehr
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked …, 2021
70*2021
Layer-wise adaptive model aggregation for scalable federated learning
S Lee, T Zhang, S Avestimehr
AAAI 2023 - Thirty-Seventh AAAI Conference on Artificial Intelligence, 2021
252021
FedAudio: A Federated Learning Benchmark for Audio Tasks
T Zhang*, T Feng*, S Alam, S Lee, M Zhang, SS Narayanan, S Avestimehr
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and …, 2023
202023
Mobility-aware smart charging of electric bus fleets
A Moradipari, N Tucker, T Zhang, G Cezar, M Alizadeh
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
152020
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
T Zhang, T Feng, S Alam, M Zhang, SS Narayanan, S Avestimehr
arXiv preprint arXiv:2306.02210, 2023
132023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
T Zhang, L Gao, S Lee, M Zhang, S Avestimehr
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
FedMultimodal: A Benchmark For Multimodal Federated Learning
T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ...
KDD 2023, 2023
62023
Secure Federated Learning against Model Poisoning Attacks via Client Filtering
DN Yaldiz, T Zhang, S Avestimehr
ICLR 2023 BANDS, 2023
42023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
S Alam, T Zhang, T Feng, H Shen, Z Cao, D Zhao, JG Ko, ...
arXiv preprint arXiv:2310.00109, 2023
12023
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
T Zhang, J Yuan, S Avestimehr
arXiv preprint arXiv:2405.10276, 2024
2024
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
S Lee, T Zhang, S Prakash, Y Niu, S Avestimehr
IEEE Transactions on Mobile Computing, 2024
2024
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