( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Heterogeneity-Aware Adaptive Federated Learning Scheduling.

, , , , , , , и . IEEE Big Data, стр. 911-920. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Eberhard Zawadzky

Renate Syed

Adnan Shahzad Syed

Mehdi Ali Syed

Mohsin-Michael Syed Ali

 

Другие публикации лиц с тем же именем

TiFL: A Tier-based Federated Learning System., , , , , , , , , и . HPDC, стр. 125-136. ACM, (2020)DySR: Adaptive Super-Resolution via Algorithm and System Co-design., , , , , и . ICLR, OpenReview.net, (2023)Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning., , , , , , , и . AAAI, стр. 10807-10814. AAAI Press, (2021)Swift machine learning model serving scheduling: a region based reinforcement learning approach., , , , , и . SC, стр. 13:1-13:23. ACM, (2019)AI Augmented Edge and Fog Computing: Trends and Challenges., , , , , , , , и . CoRR, (2022)TIFF: Tokenized Incentive for Federated Learning., , , , , , , и . CLOUD, стр. 407-416. IEEE, (2022)Towards Scalable, Private and Practical Deep Learning.. University of Nevada, Reno, USA, (2023)base-search.net (ftunivnevadair:oai:scholarworks.unr.edu:11714/8356).HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework., , , , и . CCGrid, стр. 311-321. IEEE, (2023)Towards Decentralized Deep Learning with Differential Privacy., , , , , , , и . CLOUD, том 11513 из Lecture Notes in Computer Science, стр. 130-145. Springer, (2019)AI augmented Edge and Fog computing: Trends and challenges., , , , , , , , и . J. Netw. Comput. Appl., (июля 2023)