Syed Zawad - RankMe

32 papers A* 2A 3B 4Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enabling scalable and adaptive machine learning training via serverless computing on public cloud. Perform. Evaluation Ahsan Ali, Xiaolong Ma, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Lei Yang, Feng Yan
2025	J	`jnl`	FedCust: Offloading hyperparameter customization for federated learning. Perform. Evaluation Syed Zawad, Xiaolong Ma, Jun Yi, Cheng Li, Minjia Zhang, Lei Yang, Feng Yan, Yuxiong He
2025	J	`jnl`	Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance. CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Syed Zawad, Farhan Ahmed, Heiko Ludwig, Holger Boche
2025	J	`jnl`	GneissWeb: Preparing High Quality Data for LLMs at Scale. CoRR Hajar Emami-Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models? CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad
2025	J	`jnl`	SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging. CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche
2025	J	`jnl`	Speed Up Federated Learning in Heterogeneous Environments: A Dynamic Tiering Approach. IEEE Internet Things J. Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
2025	J	`jnl`	When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets. CoRR Aladin Djuhera, Farhan Ahmed, Swanand Ravindra Kadhe, Syed Zawad, Heiko Ludwig, Holger Boche
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	A	`conf`	Towards Collecting Royalties for Copyrighted Data for Generative Models. ICWS Heiko Ludwig, Yi Zhou, Syed Zawad, Yuya Jeremy Ong, Pengyuan Li, Eric Butler, Eelaaf Zahid
2023	J	`jnl`	AI augmented Edge and Fog computing: Trends and challenges. J. Netw. Comput. Appl. Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
2023	A*	`conf`	DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan
2023	B	`conf`	HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
2023	J	`jnl`	Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach. CoRR Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
2023	—	`—`	Towards Scalable, Private and Practical Deep Learning. Syed Zawad
2022	J	`jnl`	AI Augmented Edge and Fog Computing: Trends and Challenges. CoRR Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
2022	B	`conf`	Heterogeneity-Aware Adaptive Federated Learning Scheduling. IEEE Big Data Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2022	—	`ch.`	Introduction to Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Local Training and Scalability of Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	J	`jnl`	SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training. CoRR Ahsan Ali, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Feng Yan
2022	—	`ch.`	Straggler Management. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Systems Bias in Federated Learning. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	B	`conf`	TIFF: Tokenized Incentive for Federated Learning. CLOUD Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2021	A*	`conf`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021	J	`jnl`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2020	J	`jnl`	Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan
2020	A	`conf`	TiFL: A Tier-based Federated Learning System. HPDC Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020	J	`jnl`	TiFL: A Tier-based Federated Learning System. CoRR Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2019	J	`jnl`	EPNAS: Efficient Progressive Neural Architecture Search. CoRR Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
2019	A	`conf`	Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan
2019	B	`conf`	Towards Decentralized Deep Learning with Differential Privacy. CLOUD Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen