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GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.

M. Yu, Z. Lin, K. Narra, S. Li, Y. Li, N. Kim, A. Schwing, M. Annavaram, and S. Avestimehr. NeurIPS, page 5129-5139. (2018)

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Abdullah Salman Salman

Salman Abdullah Salman

Salman Majid Salman

Verena Salman

Salman Dihne

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Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks.S. Prakash, S. Dhakal, M. Akdeniz, Y. Yona, S. Talwar, S. Avestimehr, and N. Himayat. CoRR, (2020)Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge.S. Babakniya, S. Kundu, S. Prakash, Y. Niu, and S. Avestimehr. CoRR, (2022)FedAudio: A Federated Learning Benchmark for Audio Tasks.T. Zhang, T. Feng, S. Alam, S. Lee, M. Zhang, S. Narayanan, and S. Avestimehr. ICASSP, page 1-5. IEEE, (2023)Jupiter: a networked computing architecture.P. Ghosh, Q. Nguyen, P. Sakulkar, J. Tran, A. Knezevic, J. Wang, Z. Lin, B. Krishnamachari, M. Annavaram, and S. Avestimehr. UCC Companion, page 28:1-28:8. ACM, (2021)Network error correction with unequal link capacities.S. Kim, T. Ho, M. Effros, and S. Avestimehr. Allerton, page 1387-1394. IEEE, (2009)GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.M. Yu, Z. Lin, K. Narra, S. Li, Y. Li, N. Kim, A. Schwing, M. Annavaram, and S. Avestimehr. NeurIPS, page 5129-5139. (2018)A Scalable Approach for Privacy-Preserving Collaborative Machine Learning.J. So, B. Güler, and S. Avestimehr. NeurIPS, (2020)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.J. du Terrail, S. Ayed, E. Cyffers, F. Grimberg, C. He, R. Loeb, P. Mangold, T. Marchand, O. Marfoq, E. Mushtaq and 14 other author(s). NeurIPS, (2022)Maverick-Aware Shapley Valuation for Client Selection in Federated Learning.M. Yang, I. Jarin, B. Buyukates, S. Avestimehr, and A. Markopoulou. CoRR, (2024)LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.J. So, C. Nolet, C. Yang, S. Li, Q. Yu, R. Ali, B. Guler, and S. Avestimehr. MLSys, mlsys.org, (2022)

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Disambiguation of "Avestimehr, Salman"

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GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.

Please choose a person to relate this publication to

Abdullah Salman Salman

Salman Abdullah Salman

Salman Majid Salman

Verena Salman

Salman Dihne

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Avestimehr, Salman"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.

Please choose a person to relate this publication to

Abdullah Salman Salman

Salman Abdullah Salman

Salman Majid Salman

Verena Salman

Salman Dihne

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.