Urmăriți
Di Wu
Titlu
Citat de
Citat de
Anul
Easyquant: Post-training quantization via scale optimization
D Wu, Q Tang, Y Zhao, M Zhang, Y Fu, D Zhang
arXiv preprint arXiv:2006.16669, 2020
602020
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
D Wu, R Ullah, P Harvey, P Kilpatrick, I Spence, B Varghese
IEEE Internet of Things Journal 9 (21), 20889-20901, 2022
572022
FedFly: Toward migration in edge-based distributed federated learning
R Ullah, D Wu, P Harvey, P Kilpatrick, I Spence, B Varghese
IEEE Communications Magazine 60 (11), 42-48, 2022
72022
FedComm: Understanding communication protocols for edge-based federated learning
G Cleland, D Wu, R Ullah, B Varghese
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing …, 2022
42022
Adaptive offloading of federated learning
ISBV Di Wu, Rhemat Ullah, Paul Harvey, Peter Kilpatrick
US Patent US 20230016827 A1, 2023
1*2023
Edge-Cloud Collaborative Streaming Video Analytics with Multi-agent Deep Reinforcement Learning
B Qian, Y Xuan, D Wu, Z Wen, R Yang, S He, J Chen, R Ranjan
IEEE Network, 2024
2024
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning
D Wu, R Ullah, P Rodgers, P Kilpatrick, I Spence, B Varghese
IEEE Transactions on Parallel and Distributed Systems, 2024
2024
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–7