Gauri Joshi

Tian Li

Virginia Smith

Trans. Mach. Learn. Res., 2024

Federated Communication-Efficient Multi-Objective Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

FedECADO: A Dynamical System Model of Federated Learning.

[BibT_eX]

[DOI]

Aayushya Agarwal

Lawrence T. Pileggi

CoRR, 2024

Debiasing Federated Learning with Correlated Client Participation.

[BibT_eX]

[DOI]

CoRR, 2024

FedAST: Federated Asynchronous Simultaneous Training.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Erasure Coded Neural Network Inference via Fisher Averaging.

[BibT_eX]

[DOI]

Neharika Jali

Proceedings of the IEEE International Symposium on Information Theory, 2024

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Improved Distributed Random Reshuffling over Networks.

[BibT_eX]

[DOI]

Jiarui Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Correlated Combinatorial Bandits for Online Resource Allocation.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., April, 2023

Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers.

[BibT_eX]

[DOI]

Tuhinangshu Choudhury

Weina Wang

SIGMETRICS Perform. Evaluation Rev., April, 2023

Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., January, 2023

Federated Minimax Optimization with Client Heterogeneity.

[BibT_eX]

[DOI]

Rohan Panda

Trans. Mach. Learn. Res., 2023

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise.

[BibT_eX]

[DOI]

CoRR, 2023

Correlation Aware Sparsified Mean Estimation Using Random Projection.

[BibT_eX]

[DOI]

Shuli Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond.

[BibT_eX]

[DOI]

Jiin Woo

Yuejie Chi

Proceedings of the International Conference on Machine Learning, 2023

On the Convergence of Federated Averaging with Cyclic Client Participation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

FedExP: Speeding Up Federated Averaging via Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels.

[BibT_eX]

[DOI]

Dimitrios Dimitriadis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Federated Learning under Distributed Concept Drift.

[BibT_eX]

[DOI]

Ellango Jothimurugesan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning.

[BibT_eX]

[DOI]

Tian Li

Virginia Smith

CoRR, 2022

FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Model Federated Learning with Provable Guarantees.

[BibT_eX]

[DOI]

Neelkamal Bhuyan

Sharayu Moharir

Proceedings of the Performance Evaluation Methodologies and Tools, 2022

Fedvarp: Tackling the variance due to partial client participation in federated learning.

[BibT_eX]

[DOI]

Aushim Nagarkatti

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Rateless Sum-Recovery Codes For Distributed Non-Linear Computations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2022

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.

[BibT_eX]

[DOI]

Dimitrios Dimitriadis

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Federated Minimax Optimization: Improved Convergence Analyses and Algorithms.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A Dynamic Reweighting Strategy For Fair Federated Learning.

[BibT_eX]

[DOI]

Zhiyuan Zhao

Proceedings of the IEEE International Conference on Acoustics, 2022

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

Towards Understanding Biased Client Selection in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Communication-Efficient Distributed Optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

2021

A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits.

[BibT_eX]

[DOI]

Dhruva Kaushal

IEEE/ACM Trans. Netw., 2021

Multi-Armed Bandits With Correlated Arms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Service Rate Region: A New Aspect of Coded Distributed System Design.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Best-Arm Identification in Correlated Multi-Armed Bandits.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Slow and Stale Gradients Can Win the Race.

[BibT_eX]

[DOI]

Sanghamitra Dutta

IEEE J. Sel. Areas Inf. Theory, 2021

Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Residential Consumer Understanding of Electricity Bills: The Case of the Indian Consumer.

[BibT_eX]

[DOI]

Vasundhara Sen

Int. J. Asian Bus. Inf. Manag., 2021

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

Found. Trends Mach. Learn., 2021

Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2021

A Field Guide to Federated Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Local Adaptivity in Federated Learning: Convergence and Consistency.

[BibT_eX]

[DOI]

CoRR, 2021

Deep kernels with probabilistic embeddings for small-data learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Job Dispatching Policies for Queueing Systems with Unknown Service Rates.

[BibT_eX]

[DOI]

Tuhinangshu Choudhury

Weina Wang

Sanjay Shakkottai

Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Rateless Codes for Distributed Non-linear Computations.

[BibT_eX]

[DOI]

Sophie Smith

Proceedings of the 11th International Symposium on Topics in Coding, 2021

Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning.

[BibT_eX]

[DOI]

Advait Gadhikar

Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Machine Learning on Volatile Instances.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD.

[BibT_eX]

[DOI]

Hao Liang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Correlated Multi-Armed Bandits with A Latent Random Source.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Exploring the Error-Runtime Trade-off in Decentralized Optimization.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Efficient Straggler Replication in Large-Scale Parallel Computing.

[BibT_eX]

[DOI]

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019

Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2019

Whose Decision is it Anyways? The Changing Purchasing Patterns of Indian Families.

[BibT_eX]

[DOI]

Dimitris S. Papailiopoulos

Pratima Amol Sheorey

Int. J. Asian Bus. Inf. Manag., 2019

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

CoRR, 2019

Deep Probabilistic Kernels for Sample-Efficient Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Accelerating Deep Learning by Focusing on the Biggest Losers.

[BibT_eX]

[DOI]

CoRR, 2019

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD.

[BibT_eX]

[DOI]

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Rateless Codes for Distributed Computations with Sparse Compressed Matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Introduction to ScaDL 2019.

[BibT_eX]

[DOI]

Ashish Verma

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes.

[BibT_eX]

[DOI]

Malhar Chaudhari

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Exploiting Correlation in Finite-Armed Structured Bandits.

[BibT_eX]

[DOI]

CoRR, 2018

Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms.

[BibT_eX]

[DOI]

CoRR, 2018

Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication.

[BibT_eX]

[DOI]

Malhar Chaudhari

CoRR, 2018

Service Rate Region of Content Access from Erasure Coded Storage.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

Active Distribution Learning from Indirect Samples.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Efficient Redundancy Techniques for Latency Reduction in Cloud Systems.

[BibT_eX]

[DOI]

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

Synergy via Redundancy: Boosting Service Capacity with Adaptive Replication.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2017

Boosting Service Capacity via Adaptive Task Replication.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2017

On the service capacity region of accessing erasure coded content.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Efficient redundancy techniques to reduce delay in Cloud systems.

[BibT_eX]

[DOI]

PhD thesis, 2016

Looking Good and Thinking Green-Can Green Personal Care Products Be Promoted?

[BibT_eX]

[DOI]

Gurudas Nulkar

Int. J. Asian Bus. Inf. Manag., 2016

2015

Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2015

Queues with Redundancy: Latency-Cost Analysis.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2015

Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2015

On Throughput-Smoothness Trade-offs in Streaming Communication.

[BibT_eX]

[DOI]

CoRR, 2015

Playback delay in on-demand streaming communication with feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Efficient replication of queued tasks for latency reduction in cloud systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

On the Delay-Storage Trade-Off in Content Download from Coded Distributed Storage Systems.

[BibT_eX]

[DOI]

Yanpei Liu

IEEE J. Sel. Areas Commun., 2014

Efficient task replication for fast response times in parallel computation.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Throughput-smoothness trade-offs in multicasting of an ordered packet stream.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Network Coding, 2014

The effect of block-wise feedback on the throughput-delay trade-off in streaming.

[BibT_eX]

[DOI]

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

2013

Round-robin overlapping generations coding for fast content download.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

On playback delay in streaming communication.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Coding for fast content download.

[BibT_eX]

[DOI]

Yanpei Liu