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Best Paper Award
- Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation
Zishuo Zhao, Xi Chen, Yuan Zhou
Runner-up Award
- FLock: Defending Malicious Behaviors in Federated Learning with Blockchain
Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng
- Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar
All Accepted Papers
All accepted papers will have a poster presentation and a SlidesLive video. Please check our workshop page for more details:
https://nips.cc/virtual/2022/workshop/50001.
- A Blockchain Protocol for Human-in-the-Loop AI
Nassim Dehouche, Richard Blythman
- A Secure Aggregation for Federated Learning on Long-Tailed Data
Yanna Jiang, Baihe Ma, Xu Wang, Guangsheng Yu, Caijun Sun, Wei Ni, Ren Ping Liu
- Addressing bias in Face Detectors using Decentralised Data collection with incentives
Ahan M R, Robin Lehmann, Richard Blythman
- Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation
Zishuo Zhao, Xi Chen, Yuan Zhou
- Communication-efficient Decentralized Deep Learning
Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
- FLock: Defending Malicious Behaviors in Federated Learning with Blockchain
Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng
- Incentivizing Intelligence: The Bittensor Approach
Jacob Steeves, Ala Shaabana, Yuqian Hu, Francois Luus, Sin Tai Liu, Jacqueline Dawn Tasker-Steeves
- Modulus: An Open Modular Design for Interoperable and Reusable Machine Learning
Salvatore Vivona, Luca Vivona
- Opportunities for Decentralized Technologies within AI Hubs
Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Smékal, Hithesh Shaji
- Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar
- Simulations for Open Science Token Communities: Designing the Knowledge Commons
Shady El Damaty, Jakub Smékal