| 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 | 326 | 2021 |
| 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 | 111* | 2021 |
| FedMultimodal: A Benchmark For Multimodal Federated Learning T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ... KDD 2023, 2023 | 49* | 2023 |
| 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 | 45 | 2021 |
| 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 | 36 | 2023 |
| 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 | 27 | 2023 |
| 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 | 23 | 2023 |
| 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 | 21 | 2020 |
| Secure Federated Learning against Model Poisoning Attacks via Client Filtering DN Yaldiz, T Zhang, S Avestimehr ICLR 2023 BANDS, 2023 | 14 | 2023 |
| FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things S Alam, T Zhang, T Feng, H Shen, Z Cao, D Zhao, JG Ko, ... Journal of Data-centric Machine Learning Research (DMLR), 2023 | 10 | 2023 |
| Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers T Zhang, J Yuan, S Avestimehr ACL 2024, 2024 | 2 | 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 | 2 | 2024 |
| Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding T Zhang, T Feng, Y Ni, M Cao, R Liu, K Butler, Y Weng, M Zhang, ... arXiv preprint arXiv:2406.10318, 2024 | 1 | 2024 |
| ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation T Feng, T Zhang, S Avestimehr, SS Narayanan arXiv preprint arXiv:2408.15803, 2024 | | 2024 |
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCAdresse e-mail validée de usc.edu