Paper

  • Federated Multi-Objective Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Multi-Objective Learning

    Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma 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

    Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi 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

    Dong Qiao, Chris Ding, Jicong Fan 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

    Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Yanghe Feng, Guihai Chen 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

    Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He 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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  • 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

    Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han 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, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran 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

    Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong 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

    Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang 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

    Jianqiao Zhang, Caifeng Shan, Jungong Han p118326-118356 from Advances in Neural Information Processing Systems 37
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