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Oral
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Thu 18:40
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Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun · Li Shen · Shixiang Chen · Liang Ding · Dacheng Tao
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Poster
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Thu 13:30
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Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
Yanbo Dai · Songze Li
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Poster
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Tue 14:00
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Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun · Li Shen · Shixiang Chen · Liang Ding · Dacheng Tao
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Workshop
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Improving Accelerated Federated Learning with Compression and Importance Sampling
Michał Grudzień · Grigory Malinovsky · Peter Richtarik
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Workshop
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Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
Divyansh Jhunjhunwala · Shiqiang Wang · Gauri Joshi
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Poster
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Thu 16:30
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FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
Yongxin Guo · Xiaoying Tang · Tao Lin
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Poster
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Tue 14:00
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FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li · Duanyi YAO · Jin Liu
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Workshop
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Leveraging Side Information for Communication-Efficient Federated Learning
Berivan Isik · Francesco Pase · Deniz Gunduz · Sanmi Koyejo · Tsachy Weissman · Michele Zorzi
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Workshop
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Co-Dream: Collaborative data synthesis with decentralized models
Abhishek Singh · Gauri Gupta · Charles Lu · Yogesh Koirala · Sheshank Shankar · Mohammed Ehab · Ramesh Raskar
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Poster
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Tue 14:00
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Towards Understanding Ensemble Distillation in Federated Learning
Sejun Park · Kihun Hong · Ganguk Hwang
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Poster
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Tue 14:00
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From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Edwige Cyffers · Aurélien Bellet · Debabrota Basu
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Affinity Workshop
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Mon 19:15
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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