Paper

  • Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense

    Deli Chen, Fandong Meng, Xu Sun, Zhiyuan Zhang, Hao Zhou, Jie Zhou p62006-62031 from Advances in Neural Information Processing Systems 36
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  • Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

    Zihan Chen, Yang Feng, Jin Hao, Songshang Liu, Zuozhu Liu, Hualiang Wang, Jian Wu, Zikai Xiao, Howard Yang, Joey Tianyi Zhou p77745-77757 from Advances in Neural Information Processing Systems 36
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  • FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

    Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai p10572-10586 from Advances in Neural Information Processing Systems 35
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  • FedAvP: Augment Local Data via Shared Policy in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedAvP: Augment Local Data via Shared Policy in Federated Learning

    Minui Hong, Insu Jeon, Gunhee Kim, Junhyeog Yun p18090-18121 from Advances in Neural Information Processing Systems 37
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  • Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

    Pietro Barbiero, Gabriele Dominici, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich, Alberto Tonda p112777-112813 from Advances in Neural Information Processing Systems 37
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  • Federated Black-Box Adaptation for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Black-Box Adaptation for Semantic Segmentation

    Jay Paranjape, Vishal Patel, Shameema Sikder, S. Vedula p112814-112835 from Advances in Neural Information Processing Systems 37
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  • Federated Compositional Deep AUC Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Compositional Deep AUC Maximization

    Hongchang Gao, Richard Souvenir, Tianbao Yang, Xinwen Zhang, Yihan Zhang p9648-9660 from Advances in Neural Information Processing Systems 36
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  • Federated Conditional Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Conditional Stochastic Optimization

    Zhengmian Hu, Heng Huang, Junyi Li, Jianhui Sun, Xidong Wu, Aidong Zhang p5752-5764 from Advances in Neural Information Processing Systems 36
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  • Federated Ensemble-Directed Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Ensemble-Directed Offline Reinforcement Learning

    Dileep Kalathil, Nitin Ragothaman, Desik Rengarajan, Srinivas Shakkottai p6154-6179 from Advances in Neural Information Processing Systems 37
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  • Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

    Jiamu Bai, Daoyuan Chen, Yaliang Li, Bingchen Qian, Liuyi Yao p14457-14483 from Advances in Neural Information Processing Systems 37
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  • Federated Graph Learning for Cross-Domain Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Graph Learning for Cross-Domain Recommendation

    Chaochao Chen, Xiaoliang Fan, Weike Pan, Zhaopeng Peng, Jianzhong Qi, Cheng Wang, Zihui Wang, Chenglu Wen, Ziqi Yang p64865-64888 from Advances in Neural Information Processing Systems 37
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  • Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

    Jing Jiang, Lu Liu, Guodong Long, Jie Ma, Yue Tan, Tianyi Zhou p19332-19344 from Advances in Neural Information Processing Systems 35
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