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Azizi Othman
Azizi Othman
MITxCSAIL, StanfordxSAIL, BAIR Labs, Google Research, DeepMind
在 aeu.edu.my 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
Information fusion 58, 82-115, 2020
70992020
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and trends® in machine learning 14 (1–2), 1-210, 2021
54912021
Federated learning: Challenges, methods, and future directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE signal processing magazine 37 (3), 50-60, 2020
46202020
Scaffold: Stochastic controlled averaging for federated learning
SP Karimireddy, S Kale, M Mohri, S Reddi, S Stich, AT Suresh
International conference on machine learning, 5132-5143, 2020
23382020
Variational quantum algorithms
M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ...
Nature Reviews Physics 3 (9), 625-644, 2021
22342021
Federated learning in mobile edge networks: A comprehensive survey
WYB Lim, NC Luong, DT Hoang, Y Jiao, YC Liang, Q Yang, D Niyato, ...
IEEE communications surveys & tutorials 22 (3), 2031-2063, 2020
19492020
How to backdoor federated learning
E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov
International conference on artificial intelligence and statistics, 2938-2948, 2020
19412020
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 1-7, 2020
15532020
Federated learning with differential privacy: Algorithms and performance analysis
K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
IEEE transactions on information forensics and security 15, 3454-3469, 2020
15332020
Robust and communication-efficient federated learning from non-iid data
F Sattler, S Wiedemann, KR Müller, W Samek
IEEE transactions on neural networks and learning systems 31 (9), 3400-3413, 2019
14702019
A joint learning and communications framework for federated learning over wireless networks
M Chen, Z Yang, W Saad, C Yin, HV Poor, S Cui
IEEE transactions on wireless communications 20 (1), 269-283, 2020
12332020
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 2020
10932020
Inverting gradients-how easy is it to break privacy in federated learning?
J Geiping, H Bauermeister, H Dröge, M Moeller
Advances in neural information processing systems 33, 16937-16947, 2020
10912020
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
MJ Sheller, B Edwards, GA Reina, J Martin, S Pati, A Kotrotsou, ...
Scientific reports 10 (1), 12598, 2020
10882020
Local model poisoning attacks to {Byzantine-Robust} federated learning
M Fang, X Cao, J Jia, N Gong
29th USENIX security symposium (USENIX Security 20), 1605-1622, 2020
10252020
Federated learning for healthcare informatics
J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang
Journal of healthcare informatics research 5, 1-19, 2021
9982021
A survey on federated learning systems: Vision, hype and reality for data privacy and protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu, B He
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3347-3366, 2021
9572021
A survey on security and privacy of federated learning
V Mothukuri, RM Parizi, S Pouriyeh, Y Huang, A Dehghantanha, ...
Future Generation Computer Systems 115, 619-640, 2021
9282021
Federated learning via over-the-air computation
K Yang, T Jiang, Y Shi, Z Ding
IEEE transactions on wireless communications 19 (3), 2022-2035, 2020
9042020
A survey on federated learning
C Zhang, Y Xie, H Bai, B Yu, W Li, Y Gao
Knowledge-Based Systems 216, 106775, 2021
8972021
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