Paper

  • Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

    Yiqun Diao, Bingsheng He, Junyi Hou, Zhaomin Wu p45791-45818 from Advances in Neural Information Processing Systems 37
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  • FEDERATED USE OF HYGROTHERMAL MONITORING DATA IN MASS TIMBER BUILDINGS: OPPORTUNITIES AND CHALLENGES

    World Conference on Timber Engineering 2023 (WCTE 2023)

    FEDERATED USE OF HYGROTHERMAL MONITORING DATA IN MASS TIMBER BUILDINGS: OPPORTUNITIES AND CHALLENGES

    Mariapaola Riggio, Jan Vcelak, Pekka Kaitaniemi, Andre R. Barbosa, Niki Hrovatin, Anna Sandak, Jakub Sandak, Michael Mrissa, Miklos Kresz, Anssi Yli-Jyrä, Ritva Toivonen, Laura Alakukku p3896-3904 from World Conference on Timber Engineering (WCTE 2023)
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  • FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

    Yuan Hong, Qiang Li, Binghui Wang, Yuxin Yang p48971-48995 from Advances in Neural Information Processing Systems 37
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  • FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation

    Jungong Han, Caifeng Shan, Jianqiao Zhang p118326-118356 from Advances in Neural Information Processing Systems 37
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  • 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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  • 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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  • 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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  • 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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  • FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    De Ma, Gang Pan, HuaJin Tang, Mengting Xu, Qian Zheng p91930-91950 from Advances in Neural Information Processing Systems 37
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