8 citations · 17 across the 10 of their papers we have counts for
3 papers · 1 filter
Semi-Decentralized Federated Learning with Collaborative Relaying
Michal Yemini, Rajarshi Saha, Emre Ozfatura +2
We present a semi-decentralized federated learning algorithm wherein clients collaborate by relaying their neighbors' local updates to a central parameter server (PS). At every com…
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
Michal Yemini, Rajarshi Saha, Emre Ozfatura +2
Intermittent connectivity of clients to the parameter server (PS) is a major bottleneck in federated edge learning frameworks. The lack of constant connectivity induces a large gen…
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
High-dimensional models often have a large memory footprint and must be quantized after training before being deployed on resource-constrained edge devices for inference tasks. In…