Bapi Chatterjee

3 papers · 2021–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (2) ICML (1)

Top co-authors

Vyacheslav Kungurtsev (2) Dan Alistarh (2) Surendra Kumar (1) Malcolm Egan (1) Giorgi Nadiradze (1) Gurmehak Kaur Chadha (1) Ilia Markov (1) Supratim Shit (1)

Research topics

Machine Learning (3) Deep Learning (2) Optimization & Theory · Machine Learning (2) Optimization & Theory · Deep Learning (2) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Learning Types (1) Optimization (1) Techniques (1)

Keywords

model compression (1) image classification (1) stochastic gradient descent (1) neural network training (1) communication complexity (1) distributed learning (1) neural network optimization (1) model complexity (1) distributed training (1) communication efficiency (1) coresets (1) asynchronous optimization (1) convergence guarantee (1) distributed algorithm (1) deep neural network (1) convergence bound (1) distributed stochastic gradient descent (1) momentum method (1) vertical federated learning (1) stochastic subgradient (1)

Papers

Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions ICML 2025 Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021