Paper

  • FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

    Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic p39074-39103 from Advances in Neural Information Processing Systems 37
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  • FedL2P: Federated Learning to Personalize

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedL2P: Federated Learning to Personalize

    Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane p14818-14836 from Advances in Neural Information Processing Systems 36
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  • FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

    Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen p111106-111130 from Advances in Neural Information Processing Systems 37
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  • FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

    Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li p81510-81548 from Advances in Neural Information Processing Systems 37
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  • FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

    Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma p1082-1116 from Advances in Neural Information Processing Systems 37
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  • FedNAR: Federated Optimization with Normalized Annealing Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedNAR: Federated Optimization with Normalized Annealing Regularization

    Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric Xing, Hongyi Wang p74753-74763 from Advances in Neural Information Processing Systems 36
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  • FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction

    Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao p133948-133974 from Advances in Neural Information Processing Systems 37
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  • FedPop: A Bayesian Approach for Personalised Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedPop: A Bayesian Approach for Personalised Federated Learning

    Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines p8687-8701 from Advances in Neural Information Processing Systems 35
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  • FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

    Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang p29677-29690 from Advances in Neural Information Processing Systems 35
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  • FedSR: A Simple and Effective Domain Generalization Method for Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedSR: A Simple and Effective Domain Generalization Method for Federated Learning

    A. Tuan Nguyen, Philip Torr, Ser Nam Lim p38831-38843 from Advances in Neural Information Processing Systems 35
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  • FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

    Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye p34561-34581 from Advances in Neural Information Processing Systems 37
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  • Feedback control guides credit assignment in recurrent neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feedback control guides credit assignment in recurrent neural networks

    Klara Kaleb, Barbara Feulner, Juan Gallego, Claudia Clopath p5122-5144 from Advances in Neural Information Processing Systems 37
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