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Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World


Mar 30, 2021
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada Mohanty

* 28 pages, 8 figures 

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S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training


Jan 28, 2021
Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal, Aastha Shah, Debayan Gupta

* Appeared at the Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21). (7 pages, technical paper.) 

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