Publications

Publication Page

2024

EuroSys'24

FLOAT: Federated Learning Optimizations with Automated Tuning.
Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Butt, Ali Anwar
The European Conference on Computer Systems (EuroSys), 2024

TOS'24

An End-to-End High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems.
Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huang, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali R. Butt
Transactions on Storage, 2024

2023

ICSE'23

FedDebug: Systematic Debugging for Federated Learning Applications.
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
45th International Conference on Software Engineering (ICSE), 2023

VLDB'23

InfiniStore: Elastic Serverless Cloud Storage.
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
49th International Conference on Very Large Data Bases (VLDB), 2023

SYSTOR'23

F3: Serving Files Efficiently in Serverless Computing.
Alex Merenstein, Vasily Tarasov, Ali Anwar, Scott Guthridge, Erez Zadok
16th ACM International Systems and Storage Conference (SYSTOR), 2023 [Best paper award]

CCGrid'23

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient.
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023

CCGrid'23

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework.
Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023

BigData'23

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning.
Ahmad Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Butt, and Ali Anwar
To appear in the Proceedings of the IEEE International Conference on Big Data (IEEE BigData), 2023

SE4SafeML'23

FedDefender: Backdoor Attack Defense in Federated Learning.
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components (SE4SafeML), 2023

QCCC'23

Robust and Efficient Quantum Communication.
Connor Howe, Xinran Wang, Ali Anwar
To appear in the Proceedings of the The Second International Workshop on Quantum Classical Cooperative Computing (QCCC), 2023

I2Q'23

Robust and Efficient Quantum Communication.
Xinran Wang, Connor Howe, Ali Anwar
Workshop: I too can Quantum! (I2Q), 2023

arXiv'23

ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
CoRR abs/2312.13632

arXiv'23

PI-FL: Personalized and Incentivized Federated Learning
Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Butt, Ali Anwar
CoRR abs/2304.07514

arXiv'23

A Framework for Incentivized Collaborative Learning
Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar
CoRR abs/2305.17052

2022

SC'22

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning.
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, and Ali Jannesari
To appear in the Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022

BigData'22

Heterogeneity-Aware Adaptive Federated Learning Scheduling.
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, Ali R. Butt
To appear in the Proceedings of the IEEE International Conference on Big Data (IEEE BigData), 2022

Asilomar'22

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders.
Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
To appear in the Proceedings of the Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2022

Cloud'22

TIFF: Tokenized Incentive for Federated Learning.
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
To appear in the Proceedings of the IEEE International Conference On Cloud Computing (IEEE Cloud), 2022

Cloud'22

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig and Swanand Kadhe
To appear in the Proceedings of the IEEE International Conference On Cloud Computing (IEEE Cloud), 2022

arXiv'22

Sion: Elastic Serverless Cloud Storage
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
CoRR abs/2209.01496

arXiv'22

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger
CoRR abs/2202.12443

arXiv'22

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems
Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt
CoRR arXiv:2204.07767

arXiv'22

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
CoRR abs/2207.07779

2021

AAAI'21

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
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021

SC'21

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021

FAST'21

CNSBench: A Cloud Native Storage Benchmark
Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Julie Lee, Lukas Rupprecht, Dimitris Skourtis, Yang Yang, Erez Zadok
19th USENIX Conference on File and Storage Technologies (FAST), 2021

Cloud'21

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
Kamala Varma, Yi Zhou, Nathalie Baracaldo, and Ali Anwar
IEEE International Conference on Cloud Computing (IEEE Cloud), 2021

AISec'21

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security (AISec), 2021

arXiv'21

Adaptive Dynamic Pruning for Non-IID Federated Learning.
Sixing Yu, Phuong Nguyen,Ali Anwar, Ali Jannesari
arXiv preprint, 2021

2020

TPDS'20

Large-Scale Analysis of the Docker Images and Performance Implications to Container Storage Systems
Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitris Skourtis, Arnab K Paul, Keren Chen, Mohamed Mohamed, Ali R Butt
Transactions on Parallel and Distributed Systems (TPDS), 2020

TPDS'20

Customizable Scale-Out Key-Value Stores
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali R. Butt
Transactions on Parallel and Distributed Systems (TPDS), 2020

ATC'20

DupHunter: Flexible High-Performance Deduplication for Docker Registries
Nannan Zhao, Hadeel Albahar, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Lukas Rupprecht, Ali Anwar, Ali R. Butt
USENIX Annual Technical Conference (USENIX ATC), 2020

HPDC'20

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
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020

FAST'20

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
18th USENIX Conference on File and Storage Technologies (USENIX FAST), 2020

SoCC'20

Wukong: a scalable and locality-enhanced framework for serverless parallel computing
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
ACM Symposium on Cloud Computing (SoCC), 2020

HotStorage'20

Position: The Case for Benchmarking Control Operations in Cloud Native Storage
Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Lukas Rupprecht, Dimitris Skourtis, Erez Zadok
12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), 2020

HotStorage'20

Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? (Poster)
Pranav Bhandari, Avani Wildani, Dimitris Skourtis, Vasily Tarasov, Deepavali Bhagwat, Lukas Rupprecht, Ali Anwar
12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), 2020

2019

TPDS'19

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
Kirk W. Cameron, Ali Anwar, Yue Cheng, Li Xu, Bo Li, Uday Ananth, Jon Bernard, Chandler Jearls, Thomas Lux, Yili Hong, Layne T. Watson, Ali R. Butt.
Transactions on Parallel and Distributed Systems (IEEE TPDS), 2019

IoT'19

Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios
Tim d'Hondt, Anna Wilbik, Paul Grefen, Heiko Ludwig, Natalie Baracaldo, Ali Anwar
International Conference on the Internet of Things, 2019

Cluster'19

Large-Scale Analysis of the Docker Hub Dataset
Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S. Warke, Mohamed Mohamed, and Ali R. Butt.
IEEE International Conference on Cluster Computing (IEEE Cluster 2019)

Cloud'19

Slimmer: Weight Loss Secrets for Docker Registries
Nannan Zhao, Vasily Tarasov, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S Warke, Mohamed Mohamed, Dean Hildebrand and Ali R. Butt
IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE Cloud'19), 2019

Cloud'19

Bolt: Towards a Scalable Docker Registry via Hyperconvergence
Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali R. Butt
IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE Cloud'19), 2019

VAULT'19

Introduction to Storage for Containers
Vasily Tarasov, Dimitris Skourtis, Ted Anderson, Ali Anwar
USENIX VAULT, 2019

FSS'19

Towards Federated Graph Learning for Collaborative Financial Crimes Detection.
Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Yuji Watanabe, Pablo Loyola, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran.
NeurIPS FSS workshop, 2019

;login'19

Challenges in Storing Docker Images
Ali Anwar, Lukas Rupprecht, Dimitris Skourtis, and Vasily Tarasov
;login; The USENIX Magazine, 2019

AISec'19

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
The 12th ACM Workshop on Artificial Intelligence and Security (AISec 2019)

AISec'19

A Hybrid Approach to Privacy-Preserving Federated Learning
Stacey Truex, Nathalie Baracaldo,Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
The 12th ACM Workshop on Artificial Intelligence and Security (AISec 2019) [Best paper award]

OpML'19

Towards Taming the Resource and Data Heterogeneity in Federated Learning
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
2019 USENIX Conference on Operational Machine Learning (USENIX OpML'19)

2018

SC'18

BESPOKV: Application Tailored Scale-Out Key-Value Stores
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali R. Butt
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2018

FAST'18

Improving Docker Registry Design based on Production Workload Analysis
Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley,  Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitris Skourtis, Amit S Warke, Heiko Ludwig, Dean Hildebrand, Ali R Butt
USENIX Conference on File and Storage Technologies (FAST), 2018

IPDPS'18

Chameleon: An Adaptive Wear Balancer for Flash Clusters
Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali R. Butt
IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2018

BigData'18

Analyzing Alibaba's Co-located Datacenter Workloads
Yue Cheng, Ali Anwar, and Xuejing Duan
IEEE BigData 2018

APSys'18

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study
Yue Cheng, Zheng Chai, Ali Anwar
9th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2018)

TPDP'18

A Hybrid Trust Model for Distributed Differential Privacy
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig and Rui Zhang
Theory and Practice of Differential Privacy (TPDP) 2018

arXiv'18

A Hybrid Approach to Privacy-Preserving Federated Learning
Truex, Stacey and Baracaldo, Nathalie and Anwar, Ali and Steinke, Thomas and Ludwig, Heiko and Zhang, Rui
arXiv preprint arXiv:1812.03224, 2018

Tech Report

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
Kirk W. Cameron, Ali Anwar, Yue Cheng, Li Xu, Bo Li, Uday Ananth, Thomas Lux, Yili Hong, Layne T. Watson, Ali R. Butt
Technical Report, 2018

2016

HPDC'16

MOS: Workload-aware Elasticity for Cloud Object Stores
Ali Anwar, Yue Cheng, Aayush Gupta, Ali R Butt
To appear in the Proceedings of the International Symposium on High-Performance Parallel and Distributed Computing (HPDC), pp. 177--188, 2016

HotStorage'16

ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes.
Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt
To appear in the Proceedings of the HotStorage, 2016

PDSW'16

Towards managing variability in the cloud
Ali Anwar, Yue Cheng, Ali R Butt
To appear in the Proceedings of the Parallel and Distributed Processing Symposium Workshops, 2016 IEEE International, pp. 1081--1084

2015

SC'15

Analyzethis: an analysis workflow-aware storage system
Hyogi Sim, Youngjae Kim, Sudharshan S Vazhkudai, Devesh Tiwari, Ali Anwar, Ali R Butt, Lavanya Ramakrishnan
To appear in the Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'15), pp. 1--12, 2015

Cloud'15

Cost-aware cloud metering with scalable service management infrastructure
Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O Schulz, Alla Segal, Ali R Butt
To appear in the Proceedings of the Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on, pp. 285--292

IC2E'15

Scalable metering for an affordable it cloud service management
Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O Schulz, Alla Segal, Ali R Butt
To appear in the Proceedings of the Cloud Engineering (IC2E), 2015 IEEE International Conference on, pp. 207--212

APSys'15

Anatomy of cloud monitoring and metering: A case study and open problems
Ali Anwar, Anca Sailer, Andrzej Kochut, Ali R Butt
To appear in the Proceedings of the Asia-Pacific Workshop on Systems, pp. 6, 2015

PDSW'15

Taming the cloud object storage with mos
Ali Anwar, Yue Cheng, Aayush Gupta, Ali R Butt
To appear in the Proceedings of the 10th Parallel Data Storage Workshop, pp. 7--12, 2015

2014

CCGrid'14

hats: A heterogeneity-aware tiered storage for hadoop
Krish, KR and Anwar, Ali and Butt, Ali R
To appear in the Proceedings of the Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on, pp. 502--511

Cluster'14

On the use of microservers in supporting hadoop applications
Anwar, Ali and Krish, KR and Butt, Ali R
To appear in the Proceedings of the Cluster Computing (CLUSTER), 2014 IEEE International Conference on, pp. 66--74

MASCOTS'14

[phi] sched: A heterogeneity-aware hadoop workflow scheduler
Krish, KR and Anwar, Ali and Butt, Ali R
To appear in the Proceedings of the Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2014 IEEE 22nd International Symposium on, pp. 255--264