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Competition
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Fri 7:20
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Virginia Smith - On Privacy and Personalization in Federated Learning
Virginia Smith
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Competition
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Fri 9:35
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Presentation from Participants – Winner FL+DP Track: Differentially Private Federated Learning with LoRA
Ragul N
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Poster
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Wed 15:00
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Federated Linear Bandits with Finite Adversarial Actions
Li Fan · Ruida Zhou · Chao Tian · Cong Shen
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Poster
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Wed 8:45
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Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
Yipeng Li · Xinchen Lyu
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Poster
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Wed 15:00
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Dynamic Personalized Federated Learning with Adaptive Differential Privacy
Xiyuan Yang · Wenke Huang · Mang Ye
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Workshop
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On selective classification under distribution shift
Luís Felipe Cattelan · Danilo Silva
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Poster
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Thu 15:00
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Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Yan Sun · Li Shen · Dacheng Tao
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Workshop
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FedLDA: Personalized Federated Learning Through Collaborative Linear Discriminant Analysis
Connor Mclaughlin · Lili Su
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Poster
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Wed 8:45
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Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonic · Roberto Molinaro · Tim De Ryck · Tobias Rohner · Francesca Bartolucci · Rima Alaifari · Siddhartha Mishra · Emmanuel de Bézenac
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Workshop
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Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
Heng Zhu · Arya Mazumdar
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Workshop
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Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang · Mingchen Li · Xiangyu Chang · Jiasi Chen · Amit Roy-Chowdhury · Ananda Theertha Suresh · Samet Oymak
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Workshop
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Sat 12:20
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Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins · Shanshan Wu · Sewoong Oh · Khe Sim
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