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Poster
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Thu 13:30
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Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Chuan Guo · Kamalika Chaudhuri · Pierre Stock · Michael Rabbat
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Workshop
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Fri 13:50
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Brendan McMahan: Advances in Privacy and Federated Learning, with Applications to GBoard
Brendan McMahan
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Workshop
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FED-CURE: A Robust Federated Learning Algorithm with Cubic Regularized Newton
Avishek Ghosh · Raj Kumar Maity · Arya Mazumdar
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Workshop
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SCAFF-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan
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Workshop
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A First Order Meta Stackelberg Method for Robust Federated Learning
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Workshop
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Resource-Efficient Federated Learning
Ahmed M. Abdelmoniem · Atal Sahu · Marco Canini · Suhaib Fahmy
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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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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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Incentivizing Honesty among Competitors in Collaborative Learning
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Poster
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Tue 17:00
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Improving the Model Consistency of Decentralized Federated Learning
Yifan Shi · Li Shen · Kang Wei · Yan Sun · Bo Yuan · Xueqian Wang · Dacheng Tao
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Workshop
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Teach GPT To Phish
Ashwinee Panda · Zhengming Zhang · Yaoqing Yang · Prateek Mittal
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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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