7 Publications

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[7]
2024 | Published | Conference Paper | IST-REx-ID: 18070
Chatterjee, B., Kungurtsev, V., & Alistarh, D.-A. (2024). Federated SGD with local asynchrony. In Proceedings of the 44th International Conference on Distributed Computing Systems (pp. 857–868). Jersey City, NJ, United States: IEEE. https://doi.org/10.1109/ICDCS60910.2024.00084
View | DOI
 
[6]
2021 | Published | Journal Article | IST-REx-ID: 9827 | OA
Chatterjee, B., Walulya, I., & Tsigas, P. (2021). Concurrent linearizable nearest neighbour search in LockFree-kD-tree. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2021.06.041
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[5]
2021 | Published | Conference Paper | IST-REx-ID: 10216 | OA
Chatterjee, Bapi, Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. 35th International Symposium on Distributed Computing 209. 2021
[Published Version] View | Files available | DOI | arXiv
 
[4]
2021 | Published | Conference Paper | IST-REx-ID: 11436 | OA
Kungurtsev, V., Egan, M., Chatterjee, B., & Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[3]
2021 | Published | Conference Paper | IST-REx-ID: 10432 | OA
Nadiradze, G., Markov, I., Chatterjee, B., Kungurtsev, V., & Alistarh, D.-A. (2021). Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 9037–9045). Virtual.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2020 | Published | Conference Paper | IST-REx-ID: 7213 | OA
Bhatia, Sumit, A persistent homology perspective to the link prediction problem. Complex Networks and their applications VIII 881. 2020
[Submitted Version] View | Files available | DOI | WoS
 
[1]
2019 | Published | Conference Paper | IST-REx-ID: 5947 | OA
Chatterjee, B., Peri, S., Sa, M., & Singhal, N. (2019). A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries. In ACM International Conference Proceeding Series (pp. 168–177). Bangalore, India: ACM. https://doi.org/10.1145/3288599.3288617
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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7 Publications

Mark all

[7]
2024 | Published | Conference Paper | IST-REx-ID: 18070
Chatterjee, B., Kungurtsev, V., & Alistarh, D.-A. (2024). Federated SGD with local asynchrony. In Proceedings of the 44th International Conference on Distributed Computing Systems (pp. 857–868). Jersey City, NJ, United States: IEEE. https://doi.org/10.1109/ICDCS60910.2024.00084
View | DOI
 
[6]
2021 | Published | Journal Article | IST-REx-ID: 9827 | OA
Chatterjee, B., Walulya, I., & Tsigas, P. (2021). Concurrent linearizable nearest neighbour search in LockFree-kD-tree. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2021.06.041
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[5]
2021 | Published | Conference Paper | IST-REx-ID: 10216 | OA
Chatterjee, Bapi, Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. 35th International Symposium on Distributed Computing 209. 2021
[Published Version] View | Files available | DOI | arXiv
 
[4]
2021 | Published | Conference Paper | IST-REx-ID: 11436 | OA
Kungurtsev, V., Egan, M., Chatterjee, B., & Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[3]
2021 | Published | Conference Paper | IST-REx-ID: 10432 | OA
Nadiradze, G., Markov, I., Chatterjee, B., Kungurtsev, V., & Alistarh, D.-A. (2021). Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 9037–9045). Virtual.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2020 | Published | Conference Paper | IST-REx-ID: 7213 | OA
Bhatia, Sumit, A persistent homology perspective to the link prediction problem. Complex Networks and their applications VIII 881. 2020
[Submitted Version] View | Files available | DOI | WoS
 
[1]
2019 | Published | Conference Paper | IST-REx-ID: 5947 | OA
Chatterjee, B., Peri, S., Sa, M., & Singhal, N. (2019). A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries. In ACM International Conference Proceeding Series (pp. 168–177). Bangalore, India: ACM. https://doi.org/10.1145/3288599.3288617
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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