hatS: A Heterogeneity-Aware Tiered Storage for Hadoop. - Krish K. R.; Ali Anwar 001; Ali Raza Butt (CCGRID, 2014)

On the use of microservers in supporting hadoop applications. - Ali Anwar 001; Krish K. R.; Ali Raza Butt (CLUSTER, 2014)

[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler. - Krish K. R.; Ali Anwar 001; Ali Raza Butt (MASCOTS, 2014)

Cost-Aware Cloud Metering with Scalable Service Management Infrastructure. - Ali Anwar 001; Anca Sailer; Andrzej Kochut; Charles O. Schulz; Alla Segal; Ali Raza Butt (CLOUD, 2015)

Anatomy of Cloud Monitoring and Metering: A case study and open problems. - Ali Anwar 001; Anca Sailer; Andrzej Kochut; Ali Raza Butt (APSys, 2015)

Scalable Metering for an Affordable IT Cloud Service Management. - Ali Anwar 001; Anca Sailer; Andrzej Kochut; Charles O. Schulz; Alla Segal; Ali Raza Butt (IC2E, 2015)

Taming the cloud object storage with MOS. - Ali Anwar 001; Yue Cheng 001; Aayush Gupta; Ali Raza Butt (PDSW@SC, 2015)

AnalyzeThis: an analysis workflow-aware storage system. - Hyogi Sim; Youngjae Kim 001; Sudharshan S. Vazhkudai; Devesh Tiwari; Ali Anwar 001; Ali Raza Butt; Lavanya Ramakrishnan (SC, 2015)

ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Ali Raza Butt (HotStorage, 2016)

MOS: Workload-aware Elasticity for Cloud Object Stores. - Ali Anwar 001; Yue Cheng 001; Aayush Gupta; Ali Raza Butt (HPDC, 2016)

Towards Managing Variability in the Cloud. - Ali Anwar 001; Yue Cheng 001; Ali Raza Butt (IPDPS Workshops, 2016)

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. - Yue Cheng 001; Zheng Chai; Ali Anwar 001 (APSys, 2018)

Analyzing Alibaba's Co-located Datacenter Workloads. - Yue Cheng 001; Ali Anwar 001; Xuejing Duan (IEEE BigData, 2018)

Improving Docker Registry Design Based on Production Workload Analysis. - Ali Anwar 001; Mohamed Mohamed 001; Vasily Tarasov; Michael Littley; Lukas Rupprecht; Yue Cheng 001; Nannan Zhao; Dimitris Skourtis; Amit Warke; Heiko Ludwig; Dean Hildebrand; Ali Raza Butt (FAST, 2018)

Chameleon: An Adaptive Wear Balancer for Flash Clusters. - Nannan Zhao; Ali Anwar 001; Yue Cheng 001; Mohammed Salman; Daping Li; Jiguang Wan 001; Changsheng Xie; Xubin He; Feiyi Wang; Ali Raza Butt (IPDPS, 2018)

bespoKV: application tailored scale-out key-value stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (SC, 2018)

A Hybrid Approach to Privacy-Preserving Federated Learning. - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028 (CoRR, 2018)

Bolt: Towards a Scalable Docker Registry via Hyperconvergence. - Michael Littley; Ali Anwar 001; Hannan Fayyaz; Zeshan Fayyaz; Vasily Tarasov; Lukas Rupprecht; Dimitrios Skourtis; Mohamed Mohamed 001; Heiko Ludwig; Yue Cheng 001; Ali Raza Butt (CLOUD, 2019)

Slimmer: Weight Loss Secrets for Docker Registries. - Nannan Zhao; Vasily Tarasov; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Amit Warke; Mohamed Mohamed 001; Ali Raza Butt (CLOUD, 2019)

A Hybrid Approach to Privacy-Preserving Federated Learning. - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028; Yi Zhou 015 (AISec@CCS, 2019)

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; Heiko Ludwig (AISec@CCS, 2019)

Large-Scale Analysis of the Docker Hub Dataset. - Nannan Zhao; Vasily Tarasov; Hadeel Albahar; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Amit S. Warke; Mohamed Mohamed 001; Ali Raza Butt (CLUSTER, 2019)

Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios. - Tim D'Hondt; Anna Wilbik; Paul Grefen; Heiko Ludwig; Nathalie Baracaldo; Ali Anwar 001 (IOT, 2019)

Towards Taming the Resource and Data Heterogeneity in Federated Learning. - Zheng Chai; Hannan Fayyaz; Zeshan Fayyaz; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Heiko Ludwig; Yue Cheng 001 (OpML, 2019)

Towards Federated Graph Learning for Collaborative Financial Crimes Detection. - Toyotaro Suzumura; Yi Zhou 015; Nathalie Barcardo; Guangnan Ye; Keith Houck; Ryo Kawahara; Ali Anwar 001; Lucia Larise Stavarache; Daniel Klyashtorny; Heiko Ludwig; Kumar Bhaskaran (CoRR, 2019)

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028; Yi Zhou 015 (Inform. Spektrum, 2019)

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. - Kirk W. Cameron; Ali Anwar 001; Yue Cheng 001; Li Xu; Bo Li 032; Uday Ananth; Jon Bernard; Chandler Jearls; Thomas Lux; Yili Hong 001; Layne T. Watson; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2019)

Challenges in Storing Docker Images. - Ali Anwar 001; Lukas Rupprecht; Dimitris Skourtis; Vasily Tarasov (login Usenix Mag., 2019)

Wukong: a scalable and locality-enhanced framework for serverless parallel computing. - Benjamin Carver; Jingyuan Zhang; Ao Wang; Ali Anwar 001; Panruo Wu; Yue Cheng 001 (SoCC, 2020)

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. - Ao Wang; Jingyuan Zhang; Xiaolong Ma; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (FAST, 2020)

Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? - Pranav Bhandari; Avani Wildani; Dimitris Skourtis; Vasily Tarasov; Deepavali Bhagwat; Lukas Rupprecht; Ali Anwar 001 (HotStorage, 2020)

The Case for Benchmarking Control Operations in Cloud Native Storage. - Alex Merenstein; Vasily Tarasov; Ali Anwar 001; Deepavali Bhagwat; Lukas Rupprecht; Dimitris Skourtis; Erez Zadok (HotStorage, 2020)

TiFL: A Tier-based Federated Learning System. - Zheng Chai; Ahsan Ali; Syed Zawad; Stacey Truex; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Heiko Ludwig; Feng Yan 001; Yue Cheng 001 (HPDC, 2020)

DupHunter: Flexible High-Performance Deduplication for Docker Registries. - Nannan Zhao; Hadeel Albahar; Subil Abraham; Keren Chen; Vasily Tarasov; Dimitrios Skourtis; Lukas Rupprecht; Ali Anwar 001; Ali Raza Butt (USENIX ATC, 2020)

IBM Federated Learning: an Enterprise Framework White Paper V0.1. - Heiko Ludwig; Nathalie Baracaldo; Gegi Thomas; Yi Zhou 015; Ali Anwar 001; Shashank Rajamoni; Yuya Jeremy Ong; Jayaram Radhakrishnan; Ashish Verma 001; Mathieu Sinn; Mark Purcell; Ambrish Rawat; et al. (CoRR, 2020)

Customizable Scale-Out Key-Value Stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2020)

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. - Kamala Varma; Yi Zhou 015; Nathalie Baracaldo; Ali Anwar 001 (CLOUD, 2021)

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. - Syed Zawad; Ahsan Ali; Pin-Yu Chen; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Yuan Tian 001; Feng Yan 001 (AAAI, 2021)

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; James Joshi; Heiko Ludwig (AISec@CCS, 2021)

Accountable Federated Machine Learning in Government: Engineering and Management Insights. - Dian Balta; Mahdi Sellami; Peter Kuhn; Ulrich Schöpp; Matthias Buchinger; Nathalie Baracaldo; Ali Anwar 001; Heiko Ludwig; Mathieu Sinn; Mark Purcell; Bashar Altakrouri (ePart, 2021)

CNSBench: A Cloud Native Storage Benchmark. - Alex Merenstein; Vasily Tarasov; Ali Anwar 001; Deepavali Bhagwat; Julie Lee; Lukas Rupprecht; Dimitris Skourtis; Yang Yang; Erez Zadok (FAST, 2021)

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. - Zheng Chai; Yujing Chen; Ali Anwar 001; Liang Zhao 002; Yue Cheng 001; Huzefa Rangwala (SC, 2021)

Adaptive Dynamic Pruning for Non-IID Federated Learning. - Sixing Yu; Phuong Nguyen; Ali Anwar 001; Ali Jannesari (CoRR, 2021)

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. - Sixing Yu; Phuong Nguyen; Waqwoya Abebe; Ali Anwar 001; Ali Jannesari (CoRR, 2021)

Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. - Nannan Zhao; Vasily Tarasov; Hadeel Albahar; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Arnab Kumar Paul; Keren Chen; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2021)

Dealing with Byzantine Threats to Neural Networks. - Yi Zhou 015; Nathalie Baracaldo; Ali Anwar 001; Kamala Varma (Federated Learning, 2022)

Privacy-Preserving Vertical Federated Learning. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Annie Abay; Ali Anwar 001 (Federated Learning, 2022)

Introduction to Federated Learning Systems. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Local Training and Scalability of Federated Learning Systems. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Straggler Management. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Systems Bias in Federated Learning. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

TIFF: Tokenized Incentive for Federated Learning. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (CLOUD, 2022)

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; Swanand Kadhe; Heiko Ludwig (CLOUD, 2022)

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. - Qi Le; Enmao Diao; Xinran Wang; Ali Anwar 001; Vahid Tarokh; Jie Ding 002 (IEEECONF, 2022)

Heterogeneity-Aware Adaptive Federated Learning Scheduling. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (IEEE Big Data, 2022)

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. - Sixing Yu; Phuong Nguyen; Waqwoya Abebe; Wei Qian; Ali Anwar 001; Ali Jannesari (SC, 2022)

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. - Nathalie Baracaldo; Ali Anwar 001; Mark Purcell; Ambrish Rawat; Mathieu Sinn; Bashar Altakrouri; Dian Balta; Mahdi Sellami; Peter Kuhn; Ulrich Schöpp; Matthias Buchinger (CoRR, 2022)

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. - Ahmad Khan 001; Yuze Li; Ali Anwar 001; Yue Cheng 001; Thang Hoang; Nathalie Baracaldo; Ali Raza Butt (CoRR, 2022)

Sion: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (CoRR, 2022)

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. - Ahmad Faraz Khan 001; Yuze Li; Xinran Wang; Sabaat Haroon; Haider Ali; Yue Cheng 001; Ali Raza Butt; Ali Anwar 001 (IEEE Big Data, 2023)

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. - Sixing Yu; Phuong Nguyen; Ali Anwar 001; Ali Jannesari (CCGrid, 2023)

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. - Syed Zawad; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Feng Yan 001 (CCGrid, 2023)

FedDebug: Systematic Debugging for Federated Learning Applications. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (ICSE, 2023)

FedDefender: Backdoor Attack Defense in Federated Learning. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (SE4SafeML@SIGSOFT FSE, 2023)

F3: Serving Files Efficiently in Serverless Computing. - Alex Merenstein; Vasily Tarasov; Ali Anwar 001; Scott Guthridge; Erez Zadok (SYSTOR, 2023)

PI-FL: Personalized and Incentivized Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Azal Ahmad Khan; Haider Ali; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (CoRR, 2023)

A Framework for Incentivized Collaborative Learning. - Xinran Wang; Qi Le; Ahmad Faraz Khan 001; Jie Ding 002; Ali Anwar 001 (CoRR, 2023)

ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (CoRR, 2023)

InfiniStore: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Vasily Tarasov; Dimitrios Skourtis; Feng Yan 001; Yue Cheng 001 (Proc. VLDB Endow., 2023)

Personalized Federated Learning Techniques: Empirical Analysis. - Azal Ahmad Khan; Ahmad Faraz Khan 001; Haider Ali; Ali Anwar 001 (IEEE Big Data, 2024)

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. - Azal Ahmad Khan; Sayan Alam; Xinran Wang; Ahmad Faraz Khan 001; Debanga Raj Neog; Ali Anwar 001 (IEEE Big Data, 2024)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. - Qi Le; Enmao Diao; Xinran Wang; Ahmad Faraz Khan 001; Vahid Tarokh; Jie Ding 002; Ali Anwar 001 (IEEE Big Data, 2024)

ICL: An Incentivized Collaborative Learning Framework. - Xinran Wang; Qi Le; Ahmad Faraz Khan 001; Jie Ding 002; Ali Anwar 001 (IEEE Big Data, 2024)

FLOAT: Federated Learning Optimizations with Automated Tuning. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Ahmed M. Abdelmoniem; Samuel Fountain; Ali Raza Butt; Ali Anwar 001 (EuroSys, 2024)

Privacy-Aware Semantic Cache for Large Language Models. - Waris Gill; Mohamed Elidrisi; Pallavi Kalapatapu; Ali Anwar 001; Muhammad Ali Gulzar (CoRR, 2024)

ColA: Collaborative Adaptation with Gradient Learning. - Enmao Diao; Qi Le; Suya Wu; Xinran Wang; Ali Anwar 001; Jie Ding 002; Vahid Tarokh (CoRR, 2024)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. - Qi Le; Enmao Diao; Xinran Wang; Vahid Tarokh; Jie Ding 002; Ali Anwar 001 (CoRR, 2024)

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning. - Jiaxang Tang; Zeshan Fayyaz; Mohammad A. Salahuddin 001; Raouf Boutaba; Zhi-Li Zhang; Ali Anwar 001 (CoRR, 2024)

Towards Scalable Quantum Networks. - Connor Howe; Mohsin Aziz; Ali Anwar 001 (CoRR, 2024)

Towards a Decentralized Collaborative Framework for Scalable Edge AI. - Ahmed M. Abdelmoniem; Mona Jaber; Ali Anwar 001; Yuchao Zhang; Mingliang Gao 001 (Future Internet, 2024)

Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. - Zhaoyuan Su; Ammar Ahmed; Zirui Wang; Ali Anwar 001; Yue Cheng 001 (Proc. VLDB Endow., 2024)

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 Huan; Subil Abraham; Keren Chen; Vasily Tarasov; Dimitrios Skourtis; Ali Anwar 001; Ali Raza Butt (ACM Trans. Storage, 2024)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. - Qi Le; Enmao Diao; Ziyan Wang; Xinran Wang; Jie Ding 002; Li Yang; Ali Anwar 001 (ICLR, 2025)

MAP: Multi-Human-Value Alignment Palette. - Xinran Wang; Qi Le; Ammar Ahmed; Enmao Diao; Yi Zhou 015; Nathalie Baracaldo; Jie Ding 002; Ali Anwar 001 (ICLR, 2025)

TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (ICSE, 2025)

IP-FL: Incentive-Driven Personalization in Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Zain ul Abdeen; Azal Ahmad Khan; Haider Ali; Ming Jin 002; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (IPDPS, 2025)

MeanCache: User-Centric Semantic Caching for LLM Web Services. - Waris Gill; Mohamed Elidrisi; Pallavi Kalapatapu; Ammar Ahmed; Ali Anwar 001; Muhammad Ali Gulzar (IPDPS, 2025)

AID: Adaptive Integration of Detectors for Safe AI with Language Models. - Xinran Wang; Enmao Diao; Qi Le; Jie Ding 002; Ali Anwar 001 (NAACL (Long Papers), 2025)

LADs: Leveraging LLMs for AI-Driven DevOps. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Anas Mohamed; Haider Ali; Suchithra Moolinti; Sabaat Haroon; Usman Tahir; Mattia Fazzini; Ali Raza Butt; Ali Anwar 001 (CoRR, 2025)

FLStore: Efficient Federated Learning Storage for non-training workloads. - Ahmad Faraz Khan 001; Samuel Fountain; Ahmed M. Abdelmoniem; Ali Raza Butt; Ali Anwar 001 (CoRR, 2025)

Safety Aware Task Planning via Large Language Models in Robotics. - Azal Ahmad Khan; Michael Andrev; Muhammad Ali Murtaza; Sergio Aguilera; Rui Zhang 028; Jie Ding 002; Seth Hutchinson 001; Ali Anwar 001 (CoRR, 2025)

Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering. - Anas Mohamed; Azal Ahmad Khan; Xinran Wang; Ahmad Faraz Khan 001; Shuwen Ge; Saman Bahzad Khan; Ayaan Ahmad; Ali Anwar 001 (CoRR, 2025)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Ammar Ahmed; Sheng Di; Franck Cappello; Zirui Liu 001; Jingoo Han; Ali Anwar 001 (CoRR, 2025)

Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. - Seyyed Saeid Cheshmi; Azal Ahmad Khan; Xinran Wang; Zirui Liu 001; Ali Anwar 001 (CoRR, 2025)