Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds

    Yajie Bao, Michael Crawshaw, Mingrui Liu p6467-6508 from Advances in Neural Information Processing Systems 36
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  • Federated Learning with Manifold Regularization and Normalized Update Reaggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning with Manifold Regularization and Normalized Update Reaggregation

    Xuming An, Han Hu, Yong Luo, Li Shen p55097-55109 from Advances in Neural Information Processing Systems 36
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  • Federated Linear Bandits with Finite Adversarial Actions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Linear Bandits with Finite Adversarial Actions

    Li Fan, Cong Shen, Chao Tian, Ruida Zhou p62549-62560 from Advances in Neural Information Processing Systems 36
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  • Federated Model Heterogeneous Matryoshka Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Model Heterogeneous Matryoshka Representation Learning

    Xiaoxiao Li, Xiaoguang Liu, Chao Ren, Gang Wang, Liping Yi, Han Yu p66431-66454 from Advances in Neural Information Processing Systems 37
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  • Federated Multi-Objective Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Multi-Objective Learning

    Chaosheng Dong, Jia Liu, Zhuqing Liu, Michinari Momma, Haibo Yang p39602-39625 from Advances in Neural Information Processing Systems 36
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  • Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning

    Shicong Cen, Yuxin Chen, Yuejie Chi, Yuting Wei, Tong Yang p121304-121375 from Advances in Neural Information Processing Systems 37
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  • Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups

    Fengyu Gao, Ruiquan Huang, Jing Yang p125547-125587 from Advances in Neural Information Processing Systems 37
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  • Federated Spectral Clustering via Secure Similarity Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Spectral Clustering via Secure Similarity Reconstruction

    Chris Ding, Jicong Fan, Dong Qiao p58520-58555 from Advances in Neural Information Processing Systems 36
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  • Federated Submodel Optimization for Hot and Cold Data Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Submodel Optimization for Hot and Cold Data Features

    Guihai Chen, Yucheng Ding, Yanghe Feng, Chengfei Lyu, Chaoyue Niu, Shaojie Tang, Fan Wu p1-13 from Advances in Neural Information Processing Systems 35
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  • 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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  • FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

    Bo Han, Tongliang Liu, Hao Peng, Xinmei Tian, Zhiqin Yang, Yonggang Zhang, Yu Zheng p60397-60428 from Advances in Neural Information Processing Systems 36
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  • FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning

    Jinyuan Jia, Bo Li, Luyao Niu, Radha Poovendran, Arezoo Rajabi, Bhaskar Ramasubramanian, Dinuka Sahabandu, Zhuowen Yuan p53090-53111 from Advances in Neural Information Processing Systems 36
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  • FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

    Weizhao Jin, Carlee Joe-Wong, Srivatsan Ravi, Yuhang Yao p79748-79760 from Advances in Neural Information Processing Systems 36
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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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  • 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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