Kannan Ramchandran
3 papers in the PaperMetrix corpus
Papers by this author
-
Communication-Efficient Gradient Coding for Straggler Mitigation in\n Distributed Learning
2020 · arXiv (Cornell University)
Distributed implementations of gradient-based methods, wherein a server\ndistributes gradient computations across worker machines, need to overcome two\nlimitations: delays caused by slow running machines called 'stragglers', and\ncommunication overheads. Recently, Ye and Abbe [ICML 2018] proposed a\ncoding-theoretic …
-
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
2022 · arXiv (Cornell University)
Data-driven machine learning models are being increasingly employed in several important inference problems in biology, chemistry, and physics which require learning over combinatorial spaces. Recent empirical evidence (see, e.g., [1], [2], [3]) suggests that regularizing …
-
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
2023 · arXiv (Cornell University)
Modern data aggregation often involves a platform collecting data from a network of users with various privacy options. Platforms must solve the problem of how to allocate incentives to users to convince them to share …