Model Routing, Embedding, and Merging Methods for Efficient Inference

• Jun 2026 Keynote AI Modeling, Analysis, and Control of Complex Systems (AIMACCS) Workshop, OSU

Federated Learning in the Generative AI Era

• Mar 2026Apple Workshop on Privacy-preserving Machine Learning
• Feb 2026Simons Institute Workshop on Learning for Heterogeneous Sources
• Feb 2026Information Theory and Applications (ITA) Workshop, San Diego
• Dec 2025Keynote ATIS conference on Applications and Techniques in Information Security, Melbourne
• Dec 2025CMInDs seminar, IIT Bombay
• Dec 2025Google Research

Optimization Algorithms for Federated Learning: Looking Back, Looking Forward

• Oct 2025KeynoteIEEE International Workshop on Computer-Aided Modeling and Design of Communication Networks (CAMAD), Tempe
• Aug 2025Amazon, Pittsburgh
• Jun 2025Goldsmith LectureNorth American School of Information Theory, Minneapolis

Federated Optimization for Multi-task Learning

• Jul 2025KeynoteFederated Learning Workshop at KDD, Toronto
• Jun 2025KeynoteFederated Learning Workshop at CVPR, Nashville
• Feb 2025Information Theory and Applications (ITA) Workshop, San Diego
• Dec 2024KeynoteFederated Learning in the Age of Foundation Models Workshop, Vancouver

Distributed Optimization Algorithms for Federated Learning

• Oct 2024KeynoteInternational Symposium on Distributed Computing, Madrid
• Jul 2024TutorialNorth American School of Information Theory, Ottawa

Incentivizing Client Participation in Federated Learning

• Mar 2024Conference on Information Science and Systems (CISS)

Heterogeneity-aware Algorithms for Federated Optimization

• Sep 2023PlenaryTexas Colloquium on Distributed Learning, Rice University
• Sep 2023TTIC Chicago Workshop on New Frontiers in Federated Learning
• Jun 2023KeynoteFedVision, Federated Learning Workshop at CVPR
• Nov 2022C3.ai DTI Seminar
• Nov 2022KeynoteGoogle Federated Learning Workshop

Tackling Computational Heterogeneity in Federated Learning

• May 2022University of Minnesota, Machine Learning Seminar
• May 2022NSF AI-Edge Institute Seminar
• Apr 2022University of Massachusetts Amherst, Machine Learning and Friends Lunch
• Feb 2022Texas A&M University, Computer Engineering and Systems Seminar
• Oct 2021Federated Learning One World (FLOW) Seminar

Biased Client Selection in Federated Learning

• Oct 2021Allerton Conference on Communication, Control and Computing
• May 2021ICLR Workshop on Federated Learning

Communication-Efficient Optimization Methods for Federated Learning

• Jun 2021Stochastic Networks, Applied Probability and Performance (SNAPP) Seminar
• Jun 2021KeynoteSIGMETRICS Distributed Cloud Computing Workshop
• May 2021Microsoft Research Redmond, Academia Seminar
• Mar 2021University of Michigan, Communication and Signal Processing Seminar

Adaptive Quantization in Federated Learning

• May 2021London Symposium on Information Theory, United Kingdom

Speeding up Distributed SGD via Communication-Efficient Model Aggregation

• Oct 2020University of Virginia
• Oct 2020KeynoteACM MobiHoc Frontiers Workshop
• Jun 2020IBM Research, Machine Learning Seminar
• Jun 2020Qualcomm, San Diego
• Mar 2020University of Texas at Austin
• Feb 2020Information Theory and Applications (ITA) Workshop, UC San Diego
• Oct 2019University of Washington, Machine Learning Seminar, Seattle
• Oct 2019Harvard SEAS, Electrical Engineering Seminar, Cambridge
• Oct 2019Massachusetts Institute of Technology, RLE Seminar, Cambridge

Correlated Multi-armed Bandit Algorithms

• Oct 2020INFORMS Annual Meeting, Seattle
• Oct 2019INFORMS Annual Meeting, Seattle

Fast Distributed Machine Learning with Slow and Stale Updates

• Jun 2019Google Federated Machine Learning Workshop, Seattle
• Jun 2019Machine Learning in Science and Engineering Symposium, Atlanta
• May 2019Indian Institute of Technology (IIT) Bombay, Mumbai
• Feb 2019Information Theory and Applications (ITA) Workshop, UC San Diego
• Feb 2019Shannon Channel, YouTube
• Nov 2018University of Wisconsin-Madison, SILO Seminar
• Nov 2018INFORMS Annual Meeting, Phoenix
• May 2018Google, Pittsburgh
• Mar 2018Georgia Institute of Technology, Atlanta
• Feb 2018Information Theory and Applications (ITA) Workshop, UC San Diego

Boosting Service Capacity with Adaptive Replication

• Jun 2019INFORMS ALIO Conference, Cancun
• Feb 2018Scheduling and Queueing Lunch (SQUALL) Seminar, Carnegie Mellon University
• Nov 2017INFORMS Annual Meeting, Applied Probability Session

Rateless Coded Distributed Computation

• Feb 2019SIAM Conference on Computational Science and Engineering, Spokane
• Jan 2019AMS Joint Mathematics Meeting, Baltimore

Lecture Series on Modern Coding Theory

• Mar 2018Lecture seriesClemson University, Coding, Cryptography and Number Theory Seminar

• Codes for Distributed Storage
• Rateless Codes
• Coded Computing

Efficient Redundancy Techniques to Reduce Latency in Cloud Systems

• Oct 2017Carnegie Mellon University, ECE Seminar
• Mar 2017Rutgers University, New Brunswick
• Dec 2016Indian Institute of Technology Bombay, Mumbai
• Dec 2016Tata Institute of Fundamental Research, Mumbai
• Oct 2016Texas A&M University
• Mar 2016Carnegie Mellon University
• Mar 2016University of Southern California, Los Angeles
• Feb 2016IBM T. J. Watson Research Center, Yorktown Heights
• Feb 2016Princeton University, EE Departmental Seminar
• Feb 2016Graduation Day, Information Theory and Applications Workshop, UC San Diego
• Dec 2015IBM Research Student Workshop on Cloud and Data Services, New York
• Nov 2015Rising Stars in EECS, Massachusetts Institute of Technology

Using Coding to Reduce Delay in Content Access

• Jan 2017AMS Joint Mathematics Meeting, Atlanta
• Sep 2014Massachusetts Institute of Technology, Mobile Networked Systems Group
• Aug 2014Google Headquarters, Mountain View
• Aug 2014University of California Berkeley
• Dec 2013DIMACS Workshop on Green Data Storage, Rutgers University

Throughput-Smoothness Trade-offs in Streaming Communication

• Oct 2015BIRS Workshop on Mathematical Coding Theory for Streaming
• May 2014University of Toronto
• Aug 2012Indian Institute of Technology (IIT) Bombay