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Poster
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Thu 9:00
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Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
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Poster
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Tue 9:00
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FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines
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Poster
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Wed 9:00
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CoPur: Certifiably Robust Collaborative Inference via Feature Purification
Jing Liu · Chulin Xie · Sanmi Koyejo · Bo Li
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Workshop
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FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Saeed Vahidian · Mahdi Morafah · Weijia Wang · Bill Lin
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Poster
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Wed 14:00
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An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo · Arnab Bhattacharyya · Young Lee · Tze-Yun Leong
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Workshop
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A Novel Model-Based Attribute Inference Attack in Federated Learning
ilias driouich · CHUAN XU · Giovanni Neglia · Frederic Giroire · Eoin Thomas
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Workshop
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Bayesian inference for aerosol vertical profiles
Shahine Bouabid · Duncan Watson-Parris · Dino Sejdinovic
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Workshop
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Improving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie · Pin-Yu Chen · Ce Zhang · Bo Li
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Workshop
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Fri 14:10
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Scalable and Communication-Efficient Vertical Federated Learning - Q&A
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Poster
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Tue 14:00
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A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Zhaomin Wu · Qinbin Li · Bingsheng He
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Workshop
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Fri 13:52
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Scalable and Communication-Efficient Vertical Federated Learning
Stacy Patterson
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Workshop
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Self-Supervised Vertical Federated Learning
Timothy Castiglia · Shiqiang Wang · Stacy Patterson
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