Yi Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Partitioned Data

Privacy Preserving

Top Venues

Publications

Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai, Nathalie Baracaldo
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks. CoRR (2024)
Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid (2023)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Single-shot General Hyper-parameter Optimization for Federated Learning. ICLR (2023)
Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR (2023)
Guanghui Lan, Yuyuan Ouyang, Yi Zhou
Graph Topology Invariant Gradient and Sampling Complexity for Decentralized and Stochastic Optimization. SIAM J. Optim. 33 (3) (2023)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
Heterogeneity-Aware Adaptive Federated Learning Scheduling. Big Data (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CoRR (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CLOUD (2022)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
TIFF: Tokenized Incentive for Federated Learning. CLOUD (2022)
Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo
Federated XGBoost on Sample-Wise Non-IID Data. CoRR (2022)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis. CoRR (2022)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. AISec@CCS (2021)
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CLOUD (2021)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning. CoRR (2021)
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI (2021)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. CoRR (2021)
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR (2021)
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CoRR (2021)
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. HPDC (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. CoRR (2020)
Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning. CoRR (2020)
Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig
Mitigating Bias in Federated Learning. CoRR (2020)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum 42 (5) (2019)
Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran
Towards Federated Graph Learning for Collaborative Financial Crimes Detection. CoRR (2019)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. AISec@CCS (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS (2019)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. CoRR (2019)
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
Towards Taming the Resource and Data Heterogeneity in Federated Learning. OpML (2019)