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Workshop: Federated Learning for User Privacy and Data Confidentiality

Lightning Talks Session 2

Jichan Chung ⋅ Saurav Prakash ⋅ Mikhail Khodak ⋅ Ravi Rahman ⋅ Vaikkunth Mugunthan ⋅ xinwei zhang ⋅ Hossein Hosseini

Avishek Ghosh, Jichan Chung, Dong Yin and Kannan Ramchandran. An Efficient Framework for Clustered Federated Learning
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, Amir Salman Avestimehr and Nageen Himayat. Coded Computing for Federated Learning at the Edge
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani and Ali Jadbabaie. Robust Federated Learning: The Case of Affine Distribution Shifts
Mikhail Khodak, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith and Ameet Talwalkar. Weight-Sharing for Hyperparameter Optimization in Federated Learning
Vaikkunth Mugunthan, Ravi Rahman and Lalana Kagal. BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Vaikkunth Mugunthan, Anton Peraire-Bueno and Lalana Kagal. PrivacyFL: A simulator for privacy-preserving and secure federated learning
Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga and Max Welling. Federated Learning of User Authentication Models
Xinwei Zhang, Mingyi Hong, Sairaj Dhople, Wotao Yin and Yang Liu. FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data

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