no code implementations • 5 Feb 2024 • Ron Dorfman, Naseem Yehya, Kfir Y. Levy
Byzantine-robust learning has emerged as a prominent fault-tolerant distributed machine learning framework.
no code implementations • 1 Feb 2023 • Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Y. Levy
Many compression techniques have been proposed to reduce the communication overhead of Federated Learning training procedures.
1 code implementation • 9 Feb 2022 • Ron Dorfman, Kfir Y. Levy
We consider stochastic optimization problems where data is drawn from a Markov chain.
1 code implementation • NeurIPS 2021 • Ron Dorfman, Idan Shenfeld, Aviv Tamar
Consider the following instance of the Offline Meta Reinforcement Learning (OMRL) problem: given the complete training logs of $N$ conventional RL agents, trained on $N$ different tasks, design a meta-agent that can quickly maximize reward in a new, unseen task from the same task distribution.
1 code implementation • NeurIPS 2021 • Ron Dorfman, Idan Shenfeld, Aviv Tamar
Consider the following instance of the Offline Meta Reinforcement Learning (OMRL) problem: given the complete training logs of $N$ conventional RL agents, trained on $N$ different tasks, design a meta-agent that can quickly maximize reward in a new, unseen task from the same task distribution.