Ali Anwar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 73

Top Topics

Transfer Learning

Graph Transduction

Vertically Partitioned Data

Storage Systems

Top Venues

Publications

Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh
ColA: Collaborative Adaptation with Gradient Learning. CoRR (2024)
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. CoRR (2024)
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. Proc. VLDB Endow. 17 (8) (2024)
Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ali Anwar, Muhammad Ali Gulzar
Privacy-Aware Semantic Cache for Large Language Models. CoRR (2024)
Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar
FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys (2024)
Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt
An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems. ACM Trans. Storage 20 (3) (2024)
Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid (2023)
Alex Merenstein, Vasily Tarasov, Ali Anwar, Scott Guthridge, Erez Zadok
F3: Serving Files Efficiently in Serverless Computing. SYSTOR (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDefender: Backdoor Attack Defense in Federated Learning. SE4SafeML@SIGSOFT FSE (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. CoRR (2023)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid (2023)
Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. BigData (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDefender: Backdoor Attack Defense in Federated Learning. CoRR (2023)
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16 (7) (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDebug: Systematic Debugging for Federated Learning Applications. ICSE (2023)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
Heterogeneity-Aware Adaptive Federated Learning Scheduling. Big Data (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CoRR (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CLOUD (2022)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
TIFF: Tokenized Incentive for Federated Learning. CLOUD (2022)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC (2022)
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. CoRR (2022)
Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. CoRR (2022)
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
Sion: Elastic Serverless Cloud Storage. CoRR (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. AISec@CCS (2021)
Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Arnab Kumar Paul, Keren Chen, Ali Raza Butt
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR (2021)
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC (2021)
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CLOUD (2021)
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI (2021)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. CoRR (2021)
Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri
Accountable Federated Machine Learning in Government: Engineering and Management Insights. ePart (2021)
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR (2021)
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CoRR (2021)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR (2021)
Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Julie Lee, Lukas Rupprecht, Dimitris Skourtis, Yang Yang, Erez Zadok
CNSBench: A Cloud Native Storage Benchmark. FAST (2021)
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. HPDC (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. CoRR (2020)
Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Lukas Rupprecht, Dimitris Skourtis, Erez Zadok
The Case for Benchmarking Control Operations in Cloud Native Storage. HotStorage (2020)
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
Wukong: a scalable and locality-enhanced framework for serverless parallel computing. SoCC (2020)
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing. CoRR (2020)
Nannan Zhao, Hadeel Albahar, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Lukas Rupprecht, Ali Anwar, Ali Raza Butt
DupHunter: Flexible High-Performance Deduplication for Docker Registries. USENIX Annual Technical Conference (2020)
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR (2020)
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST (2020)
Pranav Bhandari, Avani Wildani, Dimitris Skourtis, Vasily Tarasov, Deepavali Bhagwat, Lukas Rupprecht, Ali Anwar
Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? HotStorage (2020)
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
Customizable Scale-Out Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 31 (9) (2020)
Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali Raza Butt
Bolt: Towards a Scalable Docker Registry via Hyperconvergence. CLOUD (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum 42 (5) (2019)
Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran
Towards Federated Graph Learning for Collaborative Financial Crimes Detection. CoRR (2019)
Nannan Zhao, Vasily Tarasov, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit Warke, Mohamed Mohamed, Ali Raza Butt
Slimmer: Weight Loss Secrets for Docker Registries. CLOUD (2019)
Ali Anwar, Lukas Rupprecht, Dimitris Skourtis, Vasily Tarasov
Challenges in Storing Docker Images. login Usenix Mag. 44 (3) (2019)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. AISec@CCS (2019)
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 Raza Butt
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS (2019)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. CoRR (2019)
Tim D'Hondt, Anna Wilbik, Paul Grefen, Heiko Ludwig, Nathalie Baracaldo, Ali Anwar
Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios. IOT (2019)
Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S. Warke, Mohamed Mohamed, Ali Raza Butt
Large-Scale Analysis of the Docker Hub Dataset. CLUSTER (2019)
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
Towards Taming the Resource and Data Heterogeneity in Federated Learning. OpML (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang
A Hybrid Approach to Privacy-Preserving Federated Learning. CoRR (2018)
Yue Cheng, Ali Anwar, Xuejing Duan
Analyzing Alibaba's Co-located Datacenter Workloads. IEEE BigData (2018)
Yue Cheng, Zheng Chai, Ali Anwar
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. CoRR (2018)
Yue Cheng, Zheng Chai, Ali Anwar
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. APSys (2018)
Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitris Skourtis, Amit Warke, Heiko Ludwig, Dean Hildebrand, Ali Raza Butt
Improving Docker Registry Design Based on Production Workload Analysis. FAST (2018)
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
bespoKV: application tailored scale-out key-value stores. SC (2018)
Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt
Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS (2018)
Ali Anwar, Yue Cheng, Ali Raza Butt
Towards Managing Variability in the Cloud. IPDPS Workshops (2016)
Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
MOS: Workload-aware Elasticity for Cloud Object Stores. HPDC (2016)
Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. HotStorage (2016)
Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt
Scalable Metering for an Affordable IT Cloud Service Management. IC2E (2015)
Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan
AnalyzeThis: an analysis workflow-aware storage system. SC (2015)
Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
Taming the cloud object storage with MOS. PDSW@SC (2015)
Ali Anwar, Anca Sailer, Andrzej Kochut, Ali Raza Butt
Anatomy of Cloud Monitoring and Metering: A case study and open problems. APSys (2015)
Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt
Cost-Aware Cloud Metering with Scalable Service Management Infrastructure. CLOUD (2015)
Krish K. R., Ali Anwar, Ali Raza Butt
hatS: A Heterogeneity-Aware Tiered Storage for Hadoop. CCGRID (2014)
Krish K. R., Ali Anwar, Ali Raza Butt
[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler. MASCOTS (2014)
Ali Anwar, Krish K. R., Ali Raza Butt
On the use of microservers in supporting hadoop applications. CLUSTER (2014)