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Timothy Castiglia

2 accepted papers

2023

LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning

ICML 2023poster

We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a server and several parties with local datasets that share a sample ID space but have different feature sets. The parties wish to collaboratively…

Cited by 30SourcePDFScholar
2021

Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks

ICLR 2021poster

We propose Multi-Level Local SGD, a distributed stochastic gradient method for learning a smooth, non-convex objective in a multi-level communication network with heterogeneous workers. Our network model consists of a set of disjoint sub-networks, with a single hub and multiple workers; further, wor…

Cited by 53SourcePDFScholar