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Lightning Talks Session 2
Jichan Chung · Saurav Prakash · Mikhail Khodak · Ravi Rahman · Vaikkunth Mugunthan · xinwei zhang · Hossein Hosseini

Sat Jul 18 12:50 PM -- 01:15 PM (PDT) @ None
  1. Avishek Ghosh, Jichan Chung, Dong Yin and Kannan Ramchandran. An Efficient Framework for Clustered Federated Learning
  2. Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, Amir Salman Avestimehr and Nageen Himayat. Coded Computing for Federated Learning at the Edge
  3. Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani and Ali Jadbabaie. Robust Federated Learning: The Case of Affine Distribution Shifts
  4. Mikhail Khodak, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith and Ameet Talwalkar. Weight-Sharing for Hyperparameter Optimization in Federated Learning
  5. Vaikkunth Mugunthan, Ravi Rahman and Lalana Kagal. BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
  6. Vaikkunth Mugunthan, Anton Peraire-Bueno and Lalana Kagal. PrivacyFL: A simulator for privacy-preserving and secure federated learning
  7. Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga and Max Welling. Federated Learning of User Authentication Models
  8. 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

Author Information

Jichan Chung (U.C.Berkeley)
Saurav Prakash (USC)

Saurav Prakash (IEEE Graduate Student Member) received the Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology (IIT), Kanpur, India, in 2016. He is currently pursuing the Ph.D. degree in Electrical and Computer Engineering with the University of Southern California (USC), Los Angeles. He was a finalist in the Qualcomm Innovation Fellowship program in 2019. His research interests include information theory and data analytics with applications in large-scale machine learning and edge computing. He received the USC Annenberg Graduate Fellowship in 2016 and was one of the Viterbi-India fellows in Summer 2015.

Mikhail Khodak (CMU)
Ravi Rahman (MIT)
Vaikkunth Mugunthan (Massachusetts Institute of Technology)
xinwei zhang (university of Minnesota)
Hossein Hosseini (Qualcomm AI Research)

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