ICLR 2023

Affinity Workshop

Fri 0:15

Secure communication model for quantum federated learning: A proof of concept
Dev Gurung

Poster

Tue 7:30

Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
Andrew Lowy · Meisam Razaviyayn

Poster

Tue 7:30

PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
Mehdi Setayesh · Xiaoxiao Li · Vincent Wong

Poster

Wed 2:30

Bias Propagation in Federated Learning
Hongyan Chang · Reza Shokri

Poster

Tue 2:30

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Samuel Maddock · Alexandre Sablayrolles · Pierre Stock

Poster

Towards Addressing Label Skews in One-Shot Federated Learning
Yiqun Diao · Qinbin Li · Bingsheng He

Poster

Tue 2:30

Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev

Poster

Federated Nearest Neighbor Machine Translation
Yichao Du · Zhirui Zhang · Bingzhe Wu · lemao liu · Tong Xu · Enhong Chen

Poster

MocoSFL: enabling cross-client collaborative self-supervised learning
Jingtao Li · Lingjuan Lyu · Daisuke Iso · Chaitali Chakrabarti · Michael Spranger

Poster

Tue 7:30

Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt · Stefan Feuerriegel · Ce Zhang

Poster

Better Generative Replay for Continual Federated Learning
Daiqing Qi · Handong Zhao · Sheng Li

Poster

Wed 7:30

Hyperparameter Optimization through Neural Network Partitioning
Bruno Mlodozeniec · Matthias Reisser · Christos Louizos

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