ASSOCIATE PROFESSOR OF COMPUTER SCIENCE · CSAIL FELLOW

Prof. Nadia Sommer, Ph.D.

Statistical Machine Learning, Optimization & Multi-Agent Robotics

My laboratory investigates provably robust learning algorithms, federated optimization under communication constraints, and decentralized robotics consensus.

View Publications (38 Papers) Lab Research Pillars

Peer-Reviewed Journal & Conference Publications

Articles published in NeurIPS, ICML, and IEEE Transactions on Information Theory

Finite-Sample Convergence of Decentralized Momentum SGD over Time-Varying Graphs
N. Sommer, K. Chen, M. V. Jordan
Journal of Machine Learning Research (JMLR) (2025)DOI: 10.5555/JMLR.2025.10928
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Provably Private Federated Learning with Sublinear Communication Complexity
N. Sommer, A. Ben-Tal
Neural Information Processing Systems (NeurIPS) (2024)DOI: 10.1109/NEURIPS.2024.8912
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Optimal Coordination of Autonomous Drone Swarms under Stochastic Wind Drag
N. Sommer, L. Bertsekas
IEEE Transactions on Robotics (T-RO) (2023)DOI: 10.1109/TRO.2023.32981
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Academic Correspondence & Lab Inquiries

Prospective Ph.D. candidates and post-doctoral researchers should include a statement of research interests.

nsommer@csail.mit.edu
Stata Center, 32 Vassar St, Cambridge, MA
Reviewing Ph.D. Applications for Fall 2026