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Ketan Rajawat

4 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICML (2) AISTATS (1) NeurIPS (1)

Top co-authors

Alec Koppel (2) Spandan Senapati (1) PRANAY SHARMA (1) Aryan Mokhtari (1) Haibo Yang (1) Jia Liu (1) Aakash Sunil Lahoti (1) Amrit Singh Bedi (1) Mehdi Bennis (1) Mingyi Hong (1)

Research topics

Machine Learning (3) Mathematics & Optimization (3) Optimization (3) Optimization & Theory · Machine Learning (3) Artificial Intelligence (2) Learning Paradigms (2) Deep Learning (1) Application Areas (1) Optimization & Theory · Deep Learning (1)

Keywords

federated learning (2) stochastic optimization (2) quasi-newton method (2) superlinear convergence (2) numerical optimization (1) hessian approximation (1) communication efficiency (1) convergence rate (1) incremental optimization (1) alternating direction method of multiplier (1) bfgs method (1) momentum method (1) stochastic quantization (1) newton-type method (1) quadratic convergence (1) sample complexity (1) communication complexity (1)

Papers

Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022 Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NeurIPS 2021