Syed Zawad

According to our database, Syed Zawad authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AI augmented Edge and Fog computing: Trends and challenges.

Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings

J. Netw. Comput. Appl., July, 2023

Towards Scalable, Private and Practical Deep Learning.

Syed Zawad

PhD thesis, 2023

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach.

Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang

CoRR, 2023

DySR: Adaptive Super-Resolution via Algorithm and System Co-design.

Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework.

Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training.

Ahsan Ali, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Feng Yan

CoRR, 2022

Heterogeneity-Aware Adaptive Federated Learning Scheduling.

Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt

Proceedings of the IEEE International Conference on Big Data, 2022

TIFF: Tokenized Incentive for Federated Learning.

Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

Systems Bias in Federated Learning.

Syed Zawad, Feng Yan, Ali Anwar

Proceedings of the Federated Learning, 2022

Straggler Management.

Syed Zawad, Feng Yan, Ali Anwar

Proceedings of the Federated Learning, 2022

Local Training and Scalability of Federated Learning Systems.

Syed Zawad, Feng Yan, Ali Anwar

Proceedings of the Federated Learning, 2022

Introduction to Federated Learning Systems.

Syed Zawad, Feng Yan, Ali Anwar

Proceedings of the Federated Learning, 2022

2021

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.

Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things.

Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan

IEEE Internet Things J., 2020

TiFL: A Tier-based Federated Learning System.

Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

EPNAS: Efficient Progressive Neural Architecture Search.

Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos

CoRR, 2019

Swift machine learning model serving scheduling: a region based reinforcement learning approach.

Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan

Proceedings of the International Conference for High Performance Computing, 2019

Towards Decentralized Deep Learning with Differential Privacy.

Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen

Proceedings of the Cloud Computing - CLOUD 2019, 2019