Publications
Adaptive Federated Learning with Auto-Tuned Clients, International Conference on Learning Representations (ICLR), 2024
JL Kim, MTT, CA Uribe, A Kyrillidis
PersA-FL: Personalized Asynchronous Federated Learning, Optimization Methods and Software, 2023
MTT, S Lee, CA Uribe
On First-Order Meta-Reinforcement Learning with Moreau Envelopes, IEEE Conference on Decision and Control (CDC), 2023
MTT, S Perez-Salazar, CA Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations, 57th Asilomar Conference on Signals, Systems, and Computers, 2023
D Pirhayatifard, MTT, G Balakrishnan, CA Uribe
Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation, 58th Annual Allerton Conference on Communication, Control, and Computing, 2022
MTT, CA Uribe
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization, IEEE Control Systems Letters, 2022
MTT, S Lee, CA Uribe
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography, IEEE Control Systems Letters, 2022
JL Kim, MTT, CA Uribe, A Kyrillidis
Communication-efficient Distributed Cooperative Learning with Compressed Beliefs, IEEE Transactions on Control of Network Systems (TCNS), 2022
MTT, CA Uribe
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks, European Journal of Control (EJC), 2022
MTT, CA Uribe
Scalable Average Consensus with Compressed Communications, American Control Conference (ACC), 2022
MTT, CA Uribe
Communication-Efficient and Fault-Tolerant Social Learning, 55th Asilomar Conference on Signals, Systems, and Computers, 2021
MTT, CA Uribe
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling, IEEE Big Data and Smart Computing, 2021
MTT, GI Allen
JL Kim*, JA Lara Benitez*, MTT*, C Wolfe*, Z Zhang*, A Kyrillidis
H Ehteram*, MTT*, MA Maddah-Ali
* equal contribution