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Workshop
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Incentivizing Honesty among Competitors in Collaborative Learning
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Poster
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Thu 13:30
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Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
Junyi Zhu · Ruicong Yao · Matthew B Blaschko
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Workshop
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Adaptive Federated Learning with Auto-Tuned Clients
J. Lyle Kim · Mohammad Taha Toghani · Cesar Uribe · Anastasios Kyrillidis
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Workshop
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Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Information Theory
Faisal Hamman · Sanghamitra Dutta
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Workshop
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Clustering-Guided Federated Learning of Representations
Runxuan Miao · Erdem Koyuncu
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Poster
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Tue 14:00
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TabLeak: Tabular Data Leakage in Federated Learning
Mark Vero · Mislav Balunovic · Dimitar I. Dimitrov · Martin Vechev
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Workshop
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Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Tomas Ortega · Hamid Jafarkhani
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Workshop
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A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan · Tao Li · Henger Li · Tianyi Xu · Quanyan Zhu · Zizhan Zheng
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Poster
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Thu 13:30
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The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Jiin Woo · Gauri Joshi · Yuejie Chi
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Workshop
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Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning
GAURAV BAGWE · Xiaoyong Yuan · Miao Pan · Lan Zhang
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Workshop
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Guiding The Last Layer in Federated Learning with Pre-Trained Models
Gwen Legate · Nicolas Bernier · Lucas Caccia · Edouard Oyallon · Eugene Belilovsky
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Poster
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Tue 14:00
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FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Zhishuai Guo · Rong Jin · Jiebo Luo · Tianbao Yang
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