Ron Dorfman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Data Collection

Learning Problems

Reinforcement Learning

Top Venues

Publications

Ron Dorfman, Naseem Yehya, Kfir Y. Levy
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers. CoRR (2024)
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy
DoCoFL: Downlink Compression for Cross-Device Federated Learning. ICML (2023)
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Y. Levy
DoCoFL: Downlink Compression for Cross-Device Federated Learning. CoRR (2023)
Ron Dorfman, Kfir Yehuda Levy
Adapting to Mixing Time in Stochastic Optimization with Markovian Data. ICML (2022)
Ron Dorfman, Kfir Y. Levy
Adapting to Mixing Time in Stochastic Optimization with Markovian Data. CoRR (2022)
Ron Dorfman, Idan Shenfeld, Aviv Tamar
Offline Meta Reinforcement Learning - Identifiability Challenges and Effective Data Collection Strategies. NeurIPS (2021)
Ron Dorfman, Aviv Tamar
Offline Meta Reinforcement Learning. CoRR (2020)