Ali Anwar

CoRR, 2024

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning.

[BibT_eX]

[DOI]

Jiaxang Tang

Zeshan Fayyaz

Mohammad A. Salahuddin

Raouf Boutaba

Zhi-Li Zhang

CoRR, 2024

Personalized Federated Learning Techniques: Empirical Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.

[BibT_eX]

[DOI]

CoRR, 2024

ColA: Collaborative Adaptation with Gradient Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy-Aware Semantic Cache for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

FLOAT: Federated Learning Optimizations with Automated Tuning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

InfiniStore: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning.

[BibT_eX]

[DOI]

Waris Gill

Muhammad Ali Gulzar

CoRR, 2023

A Framework for Incentivized Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2023

PI-FL: Personalized and Incentivized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

F3: Serving Files Efficiently in Serverless Computing.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM International Conference on Systems and Storage, 2023

FedDefender: Backdoor Attack Defense in Federated Learning.

[BibT_eX]

[DOI]

Waris Gill

Muhammad Ali Gulzar

Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, 2023

FedDebug: Systematic Debugging for Federated Learning Applications.

[BibT_eX]

[DOI]

Waris Gill

Muhammad Ali Gulzar

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Sion: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

CoRR, 2022

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach.

[BibT_eX]

[DOI]

CoRR, 2022

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Heterogeneity-Aware Adaptive Federated Learning Scheduling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting.

[BibT_eX]

[DOI]

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

TIFF: Tokenized Incentive for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

Systems Bias in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Straggler Management.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Local Training and Scalability of Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Introduction to Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Privacy-Preserving Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Dealing with Byzantine Threats to Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

2021

Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Dynamic Pruning for Non-IID Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

CNSBench: A Cloud Native Storage Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

Accountable Federated Machine Learning in Government: Engineering and Management Insights.

[BibT_eX]

[DOI]

Proceedings of the Electronic Participation - 13th IFIP WG 8.5 International Conference, 2021

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Customizable Scale-Out Key-Value Stores.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

DupHunter: Flexible High-Performance Deduplication for Docker Registries.

[BibT_eX]

[DOI]

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

TiFL: A Tier-based Federated Learning System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

Wukong: a scalable and locality-enhanced framework for serverless parallel computing.

[BibT_eX]

[DOI]

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Challenges in Storing Docker Images.

[BibT_eX]

[DOI]

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract).

[BibT_eX]

[DOI]

Inform. Spektrum, 2019

Towards Federated Graph Learning for Collaborative Financial Crimes Detection.

[BibT_eX]

[DOI]

Lucia Larise Stavarache

Daniel Klyashtorny

Heiko Ludwig

Kumar Bhaskaran

CoRR, 2019

Towards Taming the Resource and Data Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on the Internet of Things, 2019

Large-Scale Analysis of the Docker Hub Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

A Hybrid Approach to Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

Slimmer: Weight Loss Secrets for Docker Registries.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

Bolt: Towards a Scalable Docker Registry via Hyperconvergence.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018

A Hybrid Approach to Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2018

bespoKV: application tailored scale-out key-value stores.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

Chameleon: An Adaptive Wear Balancer for Flash Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Improving Docker Registry Design Based on Production Workload Analysis.

[BibT_eX]

[DOI]

Proceedings of the 16th USENIX Conference on File and Storage Technologies, 2018

Analyzing Alibaba's Co-located Datacenter Workloads.

[BibT_eX]

[DOI]

Yue Cheng

Xuejing Duan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.

[BibT_eX]

[DOI]

Yue Cheng

Zheng Chai

Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2016

Towards Managing Variability in the Cloud.

[BibT_eX]

[DOI]

Yue Cheng

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

MOS: Workload-aware Elasticity for Cloud Object Stores.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th USENIX Workshop on Hot Topics in Storage and File Systems, 2016

2015

AnalyzeThis: an analysis workflow-aware storage system.

[BibT_eX]

[DOI]

Hyogi Sim

Youngjae Kim

Sudharshan S. Vazhkudai

Proceedings of the International Conference for High Performance Computing, 2015

Taming the cloud object storage with MOS.

[BibT_eX]

[DOI]

Proceedings of the 10th Parallel Data Storage Workshop, 2015

Scalable Metering for an Affordable IT Cloud Service Management.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Cloud Engineering, 2015

Anatomy of Cloud Monitoring and Metering: A case study and open problems.

[BibT_eX]

[DOI]

Proceedings of the 6th Asia-Pacific Workshop on Systems, 2015

Cost-Aware Cloud Metering with Scalable Service Management Infrastructure.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler.

[BibT_eX]

[DOI]

Krish K. R.

Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

On the use of microservers in supporting hadoop applications.

[BibT_eX]

[DOI]

Krish K. R.

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

hatS: A Heterogeneity-Aware Tiered Storage for Hadoop.

[BibT_eX]

[DOI]

Krish K. R.