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Affinity Event
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A proposal for post-OCR spelling correction using Language Models
Sávio Santos · Byron L D Bezerra · Arthur Neto · Cleber Zanchettin
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Poster
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Wed 16:30
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Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
Michael Crawshaw · Mingrui Liu
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Poster
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Federated Graph Learning for Cross-Domain Recommendation
Ziqi Yang · Zhaopeng Peng · Zihui Wang · Jianzhong Qi · Chaochao Chen · Weike Pan · Chenglu Wen · Cheng Wang · Xiaoliang Fan
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Workshop
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Sun 10:07
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Kai Yi, Timur Kharisov, Igor Sokolov & Peter Richtárik. Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
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Poster
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Thu 11:00
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Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Minghui Chen · Meirui Jiang · Xin Zhang · DOU QI · Zehua Wang · Xiaoxiao Li
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Affinity Event
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Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering
Afaf Taik · Saber Malekmohammadi · Golnoosh Farnadi
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Poster
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Fri 11:00
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Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
Bikang Pan · Wei Huang · Ye Shi
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Affinity Event
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Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
Mohamad Haj Fares · Ahmed Mohamed Saad Emam Saad
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Workshop
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Sun 10:00
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Harish Karthikeyan & Antigoni Polychroniadou. OPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning
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Poster
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Fri 11:00
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A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun · Li Shen · Dacheng Tao
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Poster
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Fri 11:00
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Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
Wenke Huang · Mang Ye · Zekun Shi · Guancheng Wan · He Li · Bo Du
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Workshop
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Sun 16:49
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Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Xiaoxiao Li & Han Yu. Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
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