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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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Workshop
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Zephyr : Stitching Heterogeneous Training Data with Normalizing Flow for Photometric Redshift Inference
Zechang Sun · Joshua Speagle · Song Huang · Yuan-Sen Ting · Zheng Cai
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Tutorial
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Mon 11:45
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Modeling and Exploiting Data Heterogeneity under Distribution Shifts
Jiashuo Liu · Tianhui Cai · Peng Cui · Hongseok Namkoong
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Poster
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Wed 8:45
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Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Sara Pieri · Jose Restom · Samuel Horváth · Hisham Cholakkal
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Workshop
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Sat 12:40
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The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Kang · Kannan Ramchandran · Ramtin Pedarsani
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Poster
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Wed 15:00
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Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
Michael Crawshaw · Yajie Bao · Mingrui Liu
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Poster
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Thu 8:45
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Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Sai Aparna Aketi · Abolfazl Hashemi · Kaushik Roy
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Poster
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Wed 15:00
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Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai · Ye Shi · Wei Huang · Jingya Wang
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Workshop
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Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
Yuqin Yang · Saber Salehkaleybar · Negar Kiyavash
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Workshop
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FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
SeongYoon Kim · Gihun Lee · Jaehoon Oh · Se-Young Yun
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Workshop
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Generating Data Augmentation Queries Using Large Language Models
Christopher Buss · Jasmin Mousavi · Mikhail Tokarev · Arash Termehchy · David Maier · Stefan Lee
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Poster
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Thu 8:45
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FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
Zhiqin Yang · Yonggang Zhang · Yu Zheng · Xinmei Tian · Hao Peng · Tongliang Liu · Bo Han
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