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

    Rasoul Etesami, Evelyn Ma, Olgica Milenkovic, Chao Pan, Han Zhao 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

    Timothy Hospedales, Ferenc Huszar, Minyoung Kim, Nicholas Lane, Royson Lee, Da Li, Xinchi Qiu 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

    Jingyi Chai, Siheng Chen, Yaxin Du, Rui Ge, Yang Liu, Yanfeng Wang, Rui Ye, Xinyu Zhu 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

    Linshan Jiang, Jialin Li, Xia Li, Liangxi Liu, Xiang Liu, Yunheng Shen, Feiyang Ye 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

    Jinghui Chen, Lingjuan Lyu, Fenglong Ma, Jiaqi Wang, Xiaochen Wang 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

    Qirong Ho, Ang Li, Junbo Li, Chong Tian, Hongyi Wang, Eric Xing 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

    Wei-Lun Chao, Hong-You Chen, Ziwei Li, Han-Wei Shen, Xiaoqi Wang 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

    Alain Durmus, Nikita Kotelevskii, Eric Moulines, Maxime Vono 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

    Ser Nam Lim, A. Tuan Nguyen, Philip Torr 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

    Wenke Huang, Zihan Tan, Guancheng Wan, 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

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