Ali Anwar

Affiliations:
  • IBM Research - Almaden: San Jose, CA, US


According to our database1, Ali Anwar authored at least 44 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2021

Adaptive Dynamic Pruning for Non-IID Federated Learning.
CoRR, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
Proceedings of the SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri, USA, November 14, 2021

CNSBench: A Cloud Native Storage Benchmark.
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

Accountable Federated Machine Learning in Government: Engineering and Management Insights.
Proceedings of the Electronic Participation - 13th IFIP WG 8.5 International Conference, 2021

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data.
Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
Customizable Scale-Out Key-Value Stores.
IEEE Trans. Parallel Distributed Syst., 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.
CoRR, 2020

DupHunter: Flexible High-Performance Deduplication for Docker Registries.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

TiFL: A Tier-based Federated Learning System.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

The Case for Benchmarking Control Operations in Cloud Native Storage.
Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management?
Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

Wukong: a scalable and locality-enhanced framework for serverless parallel computing.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
Challenges in Storing Docker Images.
login Usenix Mag., 2019

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design.
IEEE Trans. Parallel Distributed Syst., 2019

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract).
Inform. Spektrum, 2019

Towards Federated Graph Learning for Collaborative Financial Crimes Detection.
CoRR, 2019

Towards Taming the Resource and Data Heterogeneity in Federated Learning.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios.
Proceedings of the 9th International Conference on the Internet of Things, 2019

Large-Scale Analysis of the Docker Hub Dataset.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

A Hybrid Approach to Privacy-Preserving Federated Learning.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

Slimmer: Weight Loss Secrets for Docker Registries.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

Bolt: Towards a Scalable Docker Registry via Hyperconvergence.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
A Hybrid Approach to Privacy-Preserving Federated Learning.
CoRR, 2018

bespoKV: application tailored scale-out key-value stores.
Proceedings of the International Conference for High Performance Computing, 2018

Chameleon: An Adaptive Wear Balancer for Flash Clusters.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Improving Docker Registry Design Based on Production Workload Analysis.
Proceedings of the 16th USENIX Conference on File and Storage Technologies, 2018

Analyzing Alibaba's Co-located Datacenter Workloads.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2016
Towards Managing Variability in the Cloud.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

MOS: Workload-aware Elasticity for Cloud Object Stores.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes.
Proceedings of the 8th USENIX Workshop on Hot Topics in Storage and File Systems, 2016

2015
AnalyzeThis: an analysis workflow-aware storage system.
Proceedings of the International Conference for High Performance Computing, 2015

Taming the cloud object storage with MOS.
Proceedings of the 10th Parallel Data Storage Workshop, 2015

Scalable Metering for an Affordable IT Cloud Service Management.
Proceedings of the 2015 IEEE International Conference on Cloud Engineering, 2015

Anatomy of Cloud Monitoring and Metering: A case study and open problems.
Proceedings of the 6th Asia-Pacific Workshop on Systems, 2015

Cost-Aware Cloud Metering with Scalable Service Management Infrastructure.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

On the use of microservers in supporting hadoop applications.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

hatS: A Heterogeneity-Aware Tiered Storage for Hadoop.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014


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