Robin Francis

According to our database, Robin Francis authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Aggregated Conditional Gradient Method for Decentralized Constrained Learning From Non-IID Data.

Robin Francis, Sundeep Prabhakar Chepuri

IEEE Trans. Signal Process., 2026

2025

Differentially Private and Communication-efficient Decentralized Learning Using Deep Quantizers.

Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Frank-Wolfe Method with Proximal Regularization for Constrained Federated Learning with Non-iid Data.

Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Unrolling Decentralized Stochastic Frank Wolfe Algorithm.

Robin Francis, Sai Rajaji Ramakrishnan, Sundeep Prabhakar Chepuri

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Differentially Private Federated Frank-Wolfe.

Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Decentralized Stochastic Projection-Free Learning with Compressed Push-Sum.

Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Distributed Denoising over Simplicial Complexes using Chebyshev Polynomial Approximation.

Sai Kiran Kadambari, Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the 30th European Signal Processing Conference, 2022

Speeding up the Frank-Wolfe method using the Orthogonal Jacobi polynomials.

Robin Francis, Sundeep Prabhakar Chepuri

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials.

Robin Francis, Sundeep Prabhakar Chepuri

CoRR, 2021