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56 Results
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Poster
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Wed 16:30 |
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu · Xingchen Wang · Yaqing Wang · Tianci Liu · Lu Su · Jing Gao |
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Poster
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Fri 16:30 |
Rethinking Score Distillation as a Bridge Between Image Distributions David McAllister · Songwei Ge · Jia-Bin Huang · David Jacobs · Alexei Efros · Aleksander Holynski · Angjoo Kanazawa |
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Poster
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Thu 11:00 |
Learning Distributions on Manifolds with Free-Form Flows Peter Sorrenson · Felix Draxler · Armand Rousselot · Sander Hummerich · Ullrich Köthe |
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Poster
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Wed 11:00 |
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models Kunjal Panchal · Nisarg Parikh · Sunav Choudhary · Lijun Zhang · Yuriy Brun · Hui Guan |
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Poster
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Thu 16:30 |
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong |
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Poster
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Thu 16:30 |
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness Ahmad-Reza Ehyaei · Golnoosh Farnadi · Samira Samadi |
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Workshop
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Distributed Speculative Inference of Large Language Models is Provably Faster Nadav Timor · Jonathan Mamou · Oren Pereg · Moshe Berchansky · Daniel Korat · Moshe Wasserblat · Tomer Galanti · Michal Gordon (Kiwkowitz) · David Harel |
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Poster
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Thu 16:30 |
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models Hanxiao Zhang · Lin JU · Chan Wu · Jinjing Huang · Youshao Xiao · Zhenglei Zhou · Zhiming fan · Zhaoxin Huan · Siyuan Li · Fanzhuang Meng · Lei Liang · Xiaolu Zhang · Jun Zhou |