目前，已经开放了AAAI2021的Accept Paper List， 本文精选了14篇**联邦学习（Federated Learning）**的入选论文，分类如下：
隐私保护（Private Protection）
278: Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang
4838: FLAME: Differentially Private Federated Learning in the Shuffle Model
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
5082: Toward Understanding the Influence of Individual Clients in Federated Learning
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen
5309: Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
梯度与模型参数传播（Gradient and Model Parameter Communication）
3649: On the Convergence of Communication-Efficient Local SGD for Federated Learning
Hongchang Gao, An Xu, Heng Huang
5802: Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
5847: Model-Sharing Games: Analyzing Federated Learning under Voluntary Participation
Kathleen Donahue, Jon Kleinberg
8990: Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated
Learning
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
9097: Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti, Ramasuri Narayanam
9798: Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoc, Kari Hreinsson, Wing-Kin Ma
10069: Adressing Class Imbalance in Federated Learning
Lixu Wang, Shichao Xu, Xiao Wang, Zhu Qi
10266: Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa S Ozdayi, Murat Kantarcioglu, Yulia R. Gel
联邦推荐（Federated Recommendation）
444: FedRec++: Lossless Federated Recommendation with Explicit Feedback
Feng Liang, Weike Pan, Zhong Ming
其他
1473: Federated Multi-Armed Bandits
Chengshuai Shi, Cong Shen
