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Berivan Isik
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rTop-k: A Statistical Estimation Approach to Distributed SGD
B Isik*, LP Barnes*, HA Inan*, A Özgür
IEEE Journal on Selected Areas in Information Theory 1 (3), 897 - 907, 2020
552020
Sparse random networks for communication-efficient federated learning
B Isik, F Pase, D Gunduz, T Weissman, M Zorzi
International Conference on Learning Representations (ICLR), 2023
392023
An information-theoretic justification for model pruning
B Isik, T Weissman, A No
International Conference on Artificial Intelligence and Statistics, 3821-3846, 2022
39*2022
Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks
B Isik, P Chou, SJ Hwang, N Johnston, G Toderici
Frontiers in Signal Processing, 65, 2022
272022
Neural network compression for noisy storage devices
B Isik, K Choi, X Zheng, T Weissman, S Ermon, HSP Wong, A Alaghi
ACM Transactions on Embedded Computing Systems 22 (3), 1-29, 2023
10*2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
B Isik, WN Chen, A Ozgur, T Weissman, A No
Advances in Neural Information Processing Systems 36, 2024
92024
Neural 3d scene compression via model compression
B Isik
IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops, 2021
82021
Sandwiched video compression: Efficiently extending the reach of standard codecs with neural wrappers
B Isik, OG Guleryuz, D Tang, J Taylor, PA Chou
IEEE International Conference on Image Processing (ICIP), 2023
72023
Adaptive Compression in Federated Learning via Side Information
B Isik, F Pase, D Gunduz, S Koyejo, T Weissman, M Zorzi
International Conference on Artificial Intelligence and Statistics, 487-495, 2024
6*2024
Scaling Laws for Downstream Task Performance of Large Language Models
B Isik, N Ponomareva, H Hazimeh, D Paparas, S Vassilvitskii, S Koyejo
arXiv preprint arXiv:2402.04177, 2024
62024
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XX
S Avidan, G Brostow, M Cissé, GM Farinella, T Hassner
Springer Nature, 2022
62022
Learning under storage and privacy constraints
B Isik, T Weissman
2022 IEEE International Symposium on Information Theory (ISIT), 1844-1849, 2022
62022
GPT-Zip: Deep Compression of Finetuned Large Language Models
B Isik, H Kumbong, W Ning, X Yao, S Koyejo, C Zhang
Workshop on Efficient Systems for Foundation Models @ICML2023, 2023
52023
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
B Isik, V Lecomte, R Schaeffer, Y LeCun, M Khona, R Shwartz-Ziv, ...
NeurIPS 2023, UniReps: the First Workshop on Unifying Representations in …, 2023
3*2023
Lossy compression of noisy data for private and data-efficient learning
B Isik, T Weissman
IEEE Journal on Selected Areas in Information Theory, 2023
22023
Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers
OG Guleryuz, PA Chou, B Isik, H Hoppe, D Tang, R Du, J Taylor, ...
arXiv preprint arXiv:2402.05887, 2024
12024
On Fairness of Low-Rank Adaptation of Large Models
Z Ding, KZ Liu, P Peetathawatchai, B Isik, S Koyejo
arXiv preprint arXiv:2405.17512, 2024
2024
Improved Communication-Privacy Trade-offs in Mean Estimation under Streaming Differential Privacy
WN Chen, B Isik, P Kairouz, A No, S Oh, Z Xu
International Conference on Machine Learning (ICML), 2024
2024
Learned Volumetric Attribute Compression Using Coordinate-Based Networks
PA Chou, B Isik, SJ Hwang, NM Johnston, GD Toderici
US Patent App. 18/398,009, 2024
2024
On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models
K Liu, Z Ding, B Isik, S Koyejo
ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 2024
2024
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