Reliable source transmission over relay networks with Side Information. - Milad Sefidgaran; Bahareh Akhbari; Yalda Mohsenzadeh; Mohammad Reza Aref (ISIT, 2009)

Computing a function of correlated Sources: A rate region. - Milad Sefidgaran; Aslan Tchamkerten (ISIT, 2011)

Computing a Function of Correlated Sources - Milad Sefidgaran; Aslan Tchamkerten (CoRR, 2011)

On cooperation in multi-terminal computation and rate distortion. - Milad Sefidgaran; Aslan Tchamkerten (ISIT, 2012)

On function computation over a cascade network. - Milad Sefidgaran; Aslan Tchamkerten (ITW, 2012)

Distributed function computation over a tree network. - Milad Sefidgaran; Aslan Tchamkerten (ITW, 2013)

On Körner-Marton's sum modulo two problem. - Milad Sefidgaran; Amin Gohari; Mohammad Reza Aref (IWCIT, 2015)

Distributed Function Computation Over a Rooted Directed Tree. - Milad Sefidgaran; Aslan Tchamkerten (IEEE Trans. Inf. Theory, 2016)

Zero-Error Sum Modulo Two with a Common Observation. - Milad Sefidgaran; Aslan Tchamkerten (ITW, 2020)

On the Capacity of the Continuous-Space SSFM Model of Optical Fiber. - Milad Sefidgaran; Mansoor I. Yousefi (ITW, 2020)

Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. - Melih Barsbey; Milad Sefidgaran; Murat A. Erdogdu; Gaël Richard; Umut Simsekli (NeurIPS, 2021)

Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. - Milad Sefidgaran; Amin Gohari; Gaël Richard; Umut Simsekli (COLT, 2022)

Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning. - Milad Sefidgaran; Romain Chor; Abdellatif Zaidi (NeurIPS, 2022)

Lower Bound on the Capacity of the Continuous-Space SSFM Model of Optical Fiber. - Milad Sefidgaran; Mansoor I. Yousefi (IEEE Trans. Inf. Theory, 2022)

More Communication Does Not Result in Smaller Generalization Error in Federated Learning. - Romain Chor; Milad Sefidgaran; Abdellatif Zaidi (ISIT, 2023)

Minimum Description Length and Generalization Guarantees for Representation Learning. - Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski (NeurIPS, 2023)

Federated Learning You May Communicate Less Often! - Milad Sefidgaran; Romain Chor; Abdellatif Zaidi; Yijun Wan (CoRR, 2023)

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! - Milad Sefidgaran; Romain Chor; Abdellatif Zaidi; Yijun Wan (ICML, 2024)

Minimal Communication-Cost Statistical Learning. - Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski (ISIT, 2024)

Data-Dependent Generalization Bounds via Variable-Size Compressibility. - Milad Sefidgaran; Abdellatif Zaidi (IEEE Trans. Inf. Theory, 2024)

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors. - Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski (ICLR, 2025)

Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective. - Masoud Kavian; Milad Sefidgaran; Abdellatif Zaidi; Romain Chor (CoRR, 2025)

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior. - Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski (CoRR, 2025)