most citedBN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2025

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application

Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon +2

This work studies the relationship between Contrastive Learning and Domain Adaptation from a theoretical perspective. The two standard contrastive losses, NT-Xent loss (Self-superv…

cs.LG2024★ 2 cited

BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning

Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon +2

Federated Learning (FL) is gaining traction as a learning paradigm for training Machine Learning (ML) models in a decentralized way. Batch Normalization (BN) is ubiquitous in Deep…