Chuan Sun

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All published works

Action	Title	Year	Authors
+	DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.	2021	Ye Yuan Ruijuan Chen Chuan Sun Maolin Wang Feng Hua Xinlei Yi Tao Yang Jun Liu

Common Coauthors

Coauthor	Papers Together
Tao Yang	1
Maolin Wang	1
Xinlei Yi	1
Ye Yuan	1
Jun Liu	1
Ruijuan Chen	1
Feng Hua	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Federated Optimization:Distributed Optimization Beyond the Datacenter	2015	Jakub Konečný H. Brendan McMahan Daniel Ramage	1
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	1
+	Towards Federated Learning at Scale: System Design	2019	Keith Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	1
+	Personalized and Private Peer-to-Peer Machine Learning	2017	Aurélien Bellet Rachid Guerraoui Mahsa Taziki Marc Tommasi	1
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	1
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	1
+	Distributed Machine Learning on Mobile Devices: A Survey.	2019	Renjie Gu Shuo Yang Fan Wu	1
+	Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection	2020	Zhenheng Tang Shaohuai Shi Xiaowen Chu	1
+	FedML: A Research Library and Benchmark for Federated Machine Learning	2020	Chaoyang He Songze Li Jinhyun So Mi Zhang Hongyi Wang Xiaoyang Wang Praneeth Vepakomma Abhishek Singh Hang Qiu Li Shen	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1