( en | de | ru )

 

Disambiguation of "Zawad, Syed"

Author of the publication

copydeleteadd this publication to your clipboard
Heterogeneity-Aware Adaptive Federated Learning Scheduling.

, , , , , , , and . IEEE Big Data, page 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. You can also use the button next to the name to display some publications already assigned to the person.

Eberhard Zawadzky

Renate Syed

Adnan Shahzad Syed

Mehdi Ali Syed

Mohsin-Michael Syed Ali

 

Other publications of authors with the same name

Swift machine learning model serving scheduling: a region based reinforcement learning approach., , , , , and . SC, page 13:1-13:23. ACM, (2019)Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning., , , , , , , and . AAAI, page 10807-10814. AAAI Press, (2021)AI Augmented Edge and Fog Computing: Trends and Challenges., , , , , , , , and . CoRR, (2022)TIFF: Tokenized Incentive for Federated Learning., , , , , , , and . CLOUD, page 407-416. IEEE, (2022)DySR: Adaptive Super-Resolution via Algorithm and System Co-design., , , , , and . ICLR, OpenReview.net, (2023)TiFL: A Tier-based Federated Learning System., , , , , , , , , and . HPDC, page 125-136. ACM, (2020)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., , , , and . CCGrid, page 311-321. IEEE, (2023)Towards Decentralized Deep Learning with Differential Privacy., , , , , , , and . CLOUD, volume 11513 of Lecture Notes in Computer Science, page 130-145. Springer, (2019)AI augmented Edge and Fog computing: Trends and challenges., , , , , , , , and . J. Netw. Comput. Appl., (July 2023)