Publications

Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic (2023). Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. arXiv:2308.06895.

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Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic (2023). Machine Unlearning of Federated Clusters. In ICLR.

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Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr (2022). Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge. In FL-NeurIPS Workshop, 2022.

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Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr (2022). Federated Learning of Large Models at the Edge via Principal Sub-Model Training. In FL-NeurIPS Workshop, 2022.

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Saurav Prakash, Hanieh Hashemi, Yongqin Wang, Murali Annavaram, Salman Avestimehr (2022). Secure and Fault Tolerant Decentralized Learning. In Enclaved AI/ML Workshop 2021, Private AI Research Institute.

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Saurav Prakash, Sagar Dhakal, Yair Yona, Nageen Himayat, Shilpa Talwar (2022). Technologies for distributing iterative computations in heterogeneous computing environments. US Patent 11,423,254.

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Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr (2022). Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. In IEEE Journal on Selected Areas in Communications.

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Saurav Prakash, Sagar Dhakal, Yair Yona, Nageen Himayat, Shilpa Talwar (2022). Technologies for distributing gradient descent computation in a heterogeneous multi-access edge computing (MEC) networks. US Patent 11,244,242.

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Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr (2021). CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. In IEEE/ACM Transactions on Networking.

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Mustafa Riza Akdeniz, Arjun Anand, Nageen Himayat, Salman Avestimehr, Ravikumar Balakrishnan, Prashant Bhardwaj, Jeongsik Choi, Yang-Seok Choi, Sagar Dhakal, Brandon Gary Edwards, Saurav Prakash, Amit Solomon, Shilpa Talwar, Yair Eliyahu Yona (2021). Systems and methods for distributed learning for wireless edge dynamics. Patent App. PCT/US2020/067068.

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Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat (2020). Coded computing for low-latency federated learning over wireless edge networks. In IEEE Journal on Selected Areas in Communications.

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Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr (2020). Hierarchical coded gradient aggregation for learning at the edge. In ISIT.

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Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr (2020). Coded computing for distributed graph analytics. In IEEE Transactions on Information Theory.

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Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat (2020). Coded federated learning. In Globecom.

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Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter Beerel, Keith Chugg (2019). pSConv: A pre-defined sparse kernel based convolution for deep CNNs. In Allerton.

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Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat (2019). Coded computing for distributed machine learning in wireless edge network. In VTC.

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Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr (2019). Tree gradient coding. In ISIT.

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Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr (2019). Coded computation over heterogeneous clusters. In IEEE Transactions on Information Theory.

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Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr (2018). Coded computing for distributed graph analytics. In ISIT.

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Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr (2017). Coded computation over heterogeneous clusters. In ISIT.

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