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Workshop
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ProtoHG: Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang · Jiayi Shen · Athanasios Efthymiou · Stevan Rudinac · Monika Kackovic · Nachoem Wijnberg · Marcel Worring
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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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All You Need is LOVE: Large Optimized Vector Embeddings Network for Drug Repurposing
Sina Akbarian · Sepehr Asgarian · Jouhyun Jeon
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Workshop
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Fed-EE: Federating Heterogeneous ASR Models using Early-Exit Architectures
Mohamed Nabih Ali Mohamed Nawar · Alessio Brutti · Falavigna Daniele
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Workshop
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Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions
Lucian Chan · Marcel Verdonk · Carl Poelking
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Workshop
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Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun · Mirian Hipolito Garcia · Guoqing Zheng · Ahmed Awadallah · Anastasios Kyrillidis · Robert Sim
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Workshop
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Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution
Caleb Ellington · Ben Lengerich · Thomas Watkins · Jiekun Yang · Hanxi Xiao · Manolis Kellis · Eric Xing
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Workshop
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FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments
Mert Unsal · Ali Maatouk · Antonio De Domenico · Nicola Piovesan · Fadhel Ayed
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Workshop
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Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions
Lucian Chan · Marcel Verdonk · Carl Poelking
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Workshop
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DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo · Matteo Zignani · Sabrina Gaito
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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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Workshop
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Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models
Yae Jee Cho · Luyang Liu · Zheng Xu · Aldi Fahrezi · Matt Barnes · Gauri Joshi
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